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GECCO 2008: Atlanta, Georgia, USA

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Conor Ryan, Maarten Keijzer:
Genetic and Evolutionary Computation Conference, GECCO 2008, Proceedings, Atlanta, GA, USA, July 12-16, 2008. ACM 2008, ISBN 978-1-60558-130-9

Ant colony optimization, swarm intelligence, and artificial immune systems papers

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M. A. Hannan Bin Azhar, Farzin Deravi, Keith R. Dimond:
Criticality dispersion in swarms to optimize n-tuples. 1-8
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  - conf/gecco/FrancaCZA08
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Fabrício Olivetti de França, Guilherme Palermo Coelho, Fernando J. Von Zuben, Romis Ribeiro Faissol Attux:
Multivariate ant colony optimization in continuous search spaces. 9-16
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  - conf/gecco/MarcosMG08
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Luis de Marcos, José-Javier Martínez, José Antonio Gutiérrez:
Swarm intelligence in e-learning: a learning object sequencing agent based on competencies. 17-24
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Erik J. Dries, Gilbert L. Peterson:
Scaling ant colony optimization with hierarchical reinforcement learning partitioning. 25-32
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  - conf/gecco/HackelFZT08
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Sascha Häckel, Marco Fischer, David Zechel, Tobias Teich:
A multi-objective ant colony approach for pareto-optimization using dynamic programming. 33-40
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  - conf/gecco/HowdenH08
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David J. Howden, Tim Hendtlass:
Collective intelligence and bush fire spotting. 41-48
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Johannes Jordan, Sabine Helwig, Rolf Wanka:
Social interaction in particle swarm optimization, the ranked FIPS, and adaptive multi-swarms. 49-56
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  - conf/gecco/KlamargiasPAV08
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A. D. Klamargias, Konstantinos E. Parsopoulos, Philipos D. Alevizos, Michael N. Vrahatis:
Particle filtering with particle swarm optimization in systems with multiplicative noise. 57-62
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  - conf/gecco/MazharF08
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Nauman Mazhar, Muddassar Farooq:
A sense of danger: dendritic cells inspired artificial immune system for manet security. 63-70
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  - conf/gecco/OcaS08
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Marco Antonio Montes de Oca, Thomas Stützle:
Convergence behavior of the fully informed particle swarm optimization algorithm. 71-78
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  - conf/gecco/OstaszewskiBS08
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Marek Ostaszewski, Pascal Bouvry, Franciszek Seredynski:
Denial of service detection and analysis using idiotypic networks paradigm. 79-86
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Millie Pant, Radha Thangaraj, Ajith Abraham:
A new quantum behaved particle swarm optimization. 87-94
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  - conf/gecco/Pena08
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Jorge Peña:
Theoretical and empirical study of particle swarms with additive stochasticity and different recombination operators. 95-102
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  - conf/gecco/SaleemKF08
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Muhammad Saleem, Syed Ali Khayam, Muddassar Farooq:
A formal performance modeling framework for bio-inspired ad hoc routing protocols. 103-110
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  - conf/gecco/Salehi-AbariW08
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Amirali Salehi-Abari, Tony White:
Enhanced generalized ant programming (EGAP). 111-118
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M. Zubair Shafiq, Syed Ali Khayam, Muddassar Farooq:
Improving accuracy of immune-inspired malware detectors by using intelligent features. 119-126
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  - conf/gecco/Stibor08
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Thomas Stibor:
Discriminating self from non-self with finite mixtures of multivariate Bernoulli distributions. 127-134
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Dirk Sudholt, Carsten Witt:
Runtime analysis of binary PSO. 135-142
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  - conf/gecco/MammenJ08
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Sebastian von Mammen, Christian Jacob:
Evolutionary swarm design of architectural idea models. 143-150
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  - conf/gecco/Yu08
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Han Yu:
Optimizing task schedules using an artificial immune system approach. 151-158

Ant colony optimization, swarm intelligence, and artificial immune systems posters

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Abbas Ahmadi, Fakhri Karray, Mohamed Kamel:
Particle swarm clustering ensemble. 159-160
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Aliya Awais, Muddassar Farooq, Muhammad Younus Javed:
Attack analysis & bio-inspired security framework for IP multimedia subsystem. 161-162
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Camelia Chira, D. Dumitrescu, Camelia-Mihaela Pintea:
Heterogeneous sensitive ant model for combinatorial optimization. 163-164
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  - conf/gecco/ZhangLTH08
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Junqi Zhang, Kun Liu, Ying Tan, Xingui He:
Allocation of local and global search capabilities of particle in canonical PSO. 165-166
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Junqi Zhang, Kun Liu, Ying Tan, Xingui He:
Magnifier particle swarm optimization for numerical optimization. 167-168

Artificial life, evolutionary robotics, adaptive behavior, evolvable hardware papers

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Elton Bernardo Bandeira de Melo, Aluizio F. R. Araújo:
Modeling ant colony foraging in dynamic and confined environment. 169-176
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Gregory J. Barlow, Choong K. Oh, Stephen F. Smith:
Evolving cooperative control on sparsely distributed tasks for UAV teams without global communication. 177-184
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  - conf/gecco/BeckmannMO08
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Benjamin E. Beckmann, Philip K. McKinley, Charles Ofria:
Selection for group-level efficiency leads to self-regulation of population size. 185-192
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  - conf/gecco/BornhofenL08
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Stefan Bornhofen, Claude Lattaud:
On hopeful monsters, neutral networks and junk code in evolving L-systems. 193-200
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  - conf/gecco/CampbellWS08
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Adam Campbell, Annie S. Wu, Randall Shumaker:
Multi-agent task allocation: learning when to say no. 201-208
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  - conf/gecco/GrabowskiEOP08
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Laura M. Grabowski, Wesley R. Elsberry, Charles Ofria, Robert T. Pennock:
On the evolution of motility and intelligent tactic response. 209-216
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  - conf/gecco/KnoesterMO08
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David B. Knoester, Philip K. McKinley, Charles Ofria:
Cooperative network construction using digital germlines. 217-224
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  - conf/gecco/KrevelenN08
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D. W. F. van Krevelen, Geoff S. Nitschke:
Neuro-evolution for a gathering and collective construction task. 225-232
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Geoff Nitschke, Martijn C. Schut:
Designing multi-rover emergent specialization. 233-240
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  - conf/gecco/PayneE08
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Joshua L. Payne, Margaret J. Eppstein:
The influence of scaling and assortativity on takeover times in scale-free topologies. 241-248
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  - conf/gecco/SmaldonBKL08
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James Smaldon, Jonathan Blakes, Natalio Krasnogor, Doron Lancet:
A multi-scaled approach to artificial life simulation with P systems and dissipative particle dynamics. 249-256
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  - conf/gecco/TanevS08
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Ivan Tanev, Katsunori Shimohara:
Co-evolution of active sensing and locomotion gaits of simulated snake-like robot. 257-264
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  - conf/gecco/ValsalamM08
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Vinod K. Valsalam, Risto Miikkulainen:
Modular neuroevolution for multilegged locomotion. 265-272
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  - conf/gecco/VulliA08
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Srinivasa Shivakar Vulli, Sanjeev Agarwal:
Individual-based artificial ecosystems for design and optimization. 273-280

Artificial life, evolutionary robotics, adaptive behavior, evolvable hardware posters

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  - conf/gecco/Cussat-BlancVLDC08
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Sylvain Cussat-Blanc, Fabien Viale, Hervé Luga, Yves Duthen, Denis Caromel:
Genetic algorithms and grid computing for artificial embryogeny. 281-282
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  - conf/gecco/GotshallS08
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Stanley Phillips Gotshall, Terry Soule:
Evolving stable behavior in a spino-neuromuscular system model. 283-284
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  - conf/gecco/JungR08
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Jae-Yoon Jung, James A. Reggia:
Nested evolution of an autonomous agent using descriptive encoding. 285-286
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  - conf/gecco/Krah08
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Peter Krah:
Towards efficient evolution of morphology and control. 287-288
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  - conf/gecco/McGinleyRMM08
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Brian McGinley, Patrick Rocke, Fearghal Morgan, John Maher:
Reconfigurable analogue hardware evolution of adaptive spiking neural network controllers. 289-290
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  - conf/gecco/RahmaniH08
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Adel Torkaman Rahmani, B. Hoda Helmi:
EIN-WUM: an AIS-based algorithm for web usage mining. 291-292
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  - conf/gecco/SeoH08
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Kisung Seo, Soohwan Hyun:
Genetic programming based automatic gait generation for quadruped robots. 293-294
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  - conf/gecco/TrendelenburgBHM08
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Stanis Trendelenburg, Joachim Becker, Fabian Henrici, Yiannos Manoli:
A GP algorithm for efficient synthesis of GM-C filters on a hexagonal FPAA structure. 295-296
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  - conf/gecco/TrujilloOLV08
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Leonardo Trujillo, Gustavo Olague, Evelyne Lutton, Francisco Fernández de Vega:
Behavior-based speciation for evolutionary robotics. 297-298

Bioinformatics and computational biology papers

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  - conf/gecco/ClaytonPLML08
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Thomas F. Clayton, Leena N. Patel, Gareth Leng, Alan F. Murray, Iain A. B. Lindsay:
Rapid evaluation and evolution of neural models using graphics card hardware. 299-306
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  - conf/gecco/EsmaeiliJ08
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Afshin Esmaeili, Christian Jacob:
Evolution of discrete gene regulatory models. 307-314
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  - conf/gecco/GoeffonNS08
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Adrien Goëffon, Macha Nikolski, David James Sherman:
An efficient probabilistic population-based descent for the median genome problem. 315-322
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  - conf/gecco/PirkwieserR08
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Sandro Pirkwieser, Günther R. Raidl:
Finding consensus trees by evolutionary, variable neighborhood search, and hybrid algorithms. 323-330
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  - conf/gecco/Romero-CamperoCCK08
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Francisco José Romero-Campero, Hongqing Cao, Miguel Cámara, Natalio Krasnogor:
Structure and parameter estimation for cell systems biology models. 331-338
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  - conf/gecco/UrbanowiczBWM08
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Ryan J. Urbanowicz, Nate Barney, Bill C. White, Jason H. Moore:
Mask functions for the symbolic modeling of epistasis using genetic programming. 339-346

Bioinformatics and computational biology Posters

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  - conf/gecco/GarciaALS08
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Beatriz García Jiménez, Ricardo Aler, Agapito Ledezma, Araceli Sanchis:
Protein-protein functional association prediction using genetic programming. 347-348
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  - conf/gecco/GoncalvesGGD08
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Richard A. Gonçalves, Marco César Goldbarg, Elizabeth Ferreira Gouvea Goldbarg, Myriam Regattieri Delgado:
Warping search: a new metaheuristic applied to the protein structure prediction. 349-350
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  - conf/gecco/GreeneWM08
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Casey S. Greene, Bill C. White, Jason H. Moore:
Using expert knowledge in initialization for genome-wide analysis of epistasis using genetic programming. 351-352
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  - conf/gecco/HardisonFDRRM08
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Nicholas E. Hardison, Theresa J. Fanelli, Scott M. Dudek, David M. Reif, Marylyn D. Ritchie, Alison A. Motsinger-Reif:
A balanced accuracy fitness function leads to robust analysis using grammatical evolution neural networks in the case of class imbalance. 353-354

Coevolution papers

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  - conf/gecco/JaskowskiKW08
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Wojciech Jaskowski, Krzysztof Krawiec, Bartosz Wieloch:
Fitnessless coevolution. 355-362
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  - conf/gecco/LichodzijewskiH08
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Peter Lichodzijewski, Malcolm I. Heywood:
Managing team-based problem solving with symbiotic bid-based genetic programming. 363-370
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  - conf/gecco/ServiceT08
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Travis C. Service, Daniel R. Tauritz:
A no-free-lunch framework for coevolution. 371-378
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  - conf/gecco/Shi08
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Min Shi:
An empirical comparison of evolution and coevolution for designing artificial neural network game players. 379-386

Coevolution posters

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Travis C. Service, Daniel R. Tauritz:
Co-optimization algorithms. 387-388
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  - conf/gecco/YangHL08
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Liping Yang, Houkuan Huang, Yabin Liu:
A coevolution archive based on problem dimension. 389-390

Estimation of distribution algorithms papers

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  - conf/gecco/ChuangC08
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Chung-Yao Chuang, Ying-ping Chen:
On the effectiveness of distributions estimated by probabilistic model building. 391-398
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  - conf/gecco/FernandesLR08
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Carlos M. Fernandes, Cláudio F. Lima, Agostinho C. Rosa:
UMDAs for dynamic optimization problems. 399-406
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  - conf/gecco/GamezMP08
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José A. Gámez, Juan L. Mateo, José Miguel Puerta:
Improved EDNA (estimation of dependency networks algorithm) using combining function with bivariate probability distributions. 407-414
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  - conf/gecco/HauschildPSG08
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Mark Hauschild, Martin Pelikan, Kumara Sastry, David E. Goldberg:
Using previous models to bias structural learning in the hierarchical BOA. 415-422
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David Iclanzan, D. Dumitrescu:
Going for the big fishes: discovering and combining large neutral and massively multimodal building-blocks with model based macro-mutation. 423-430
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Cláudio F. Lima, Fernando G. Lobo, Martin Pelikan:
From mating pool distributions to model overfitting. 431-438
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Cláudio F. Lima, Carlos M. Fernandes, Fernando G. Lobo:
Investigating restricted tournament replacement in ECGA for non-stationary environments. 439-446
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Martin Pelikan, Helmut G. Katzgraber, Sigismund Kobe:
Finding ground states of Sherrington-Kirkpatrick spin glasses with hierarchical boa and genetic algorithms. 447-454
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Martin Pelikan, Kumara Sastry, David E. Goldberg:
iBOA: the incremental bayesian optimization algorithm. 455-462

Estimation of distribution algorithms posters

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  - conf/gecco/BrownleePMP08
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Alexander E. I. Brownlee, Martin Pelikan, John A. W. McCall, Andrei Petrovski:
An application of a multivariate estimation of distribution algorithm to cancer chemotherapy. 463-464
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Alexander E. I. Brownlee, Yanghui Wu, John A. W. McCall, Paul Michael Godley, David E. Cairns, Julie Cowie:
Optimisation and fitness modelling of bio-control in mushroom farming using a Markov network eda. 465-466
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Thyago S. P. C. Duque, David E. Goldberg, Kumara Sastry:
Improving the efficiency of the extended compact genetic algorithm. 467-468
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  - conf/gecco/AguirreDB08
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Arturo Hernández Aguirre, Enrique Raúl Villa Diharce, Selma Barba-Moreno:
An estimation distribution algorithm with the spearman's rank correlation index. 469-470
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  - conf/gecco/HongKXR08
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Yi Hong, Sam Kwong, Hui Xiong, Qingsheng Ren:
Data clustering using virtual population based incremental learning algorithm with similarity matrix encoding strategy. 471-472
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  - conf/gecco/Mayorga-AlvarezA08
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Pedro P. Mayorga-Alvarez, Arturo Hernández Aguirre:
The directional EDA for global optimization. 473-474
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  - conf/gecco/ShakyaS08
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Siddhartha Shakya, Roberto Santana:
An EDA based on local markov property and gibbs sampling. 475-476
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  - conf/gecco/PenaAR08
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Sergio Ivvan Valdez Peña, Arturo Hernández Aguirre, Salvador Botello Rionda:
Designing EDAs by using the elitist convergent EDA concept and the boltzmann distribution. 477-478

Evolution strategies, evolutionary programming papers

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  - conf/gecco/AkimotoSOK08
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Youhei Akimoto, Jun Sakuma, Isao Ono, Shigenobu Kobayashi:
Functionally specialized CMA-ES: a modification of CMA-ES based on the specialization of the functions of covariance matrix adaptation and step size adaptation. 479-486
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Hans-Georg Beyer, Alexander Melkozerov:
Mutative sigma-self-adaptation can beat cumulative step size adaptation when using weighted recombination. 487-494
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  - conf/gecco/CaamanoBBD08
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Pilar Caamaño, Francisco Bellas, José Antonio Becerra, Richard J. Duro:
Application domain study of evolutionary algorithms in optimization problems. 495-502
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  - conf/gecco/JagerskupperP08
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Jens Jägersküpper, Mike Preuss:
Aiming for a theoretically tractable CSA variant by means of empirical investigations. 503-510
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  - conf/gecco/Meyer-NiebergB08
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Silja Meyer-Nieberg, Hans-Georg Beyer:
Why noise may be good: additive noise on the sharp ridge. 511-518
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  - conf/gecco/ShirRBR08
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Ofer M. Shir, Jonathan Roslund, Thomas Bäck, Herschel Rabitz:
Performance analysis of derandomized evolution strategies in quantum control experiments. 519-526

Evolution strategies, evolutionary programming posters

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  - conf/gecco/EpitropakisPV08
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Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis:
Non-monotone differential evolution. 527-528
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Derek James:
A comparison of speciation, extinction, and complexification in neuroevolution with and without selection pressure. 529-530
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Aranildo Rodrigues Lima Junior, Tiago Alessandro Espínola Ferreira:
A hybrid method for tuning neural network for time series forecasting. 531-532
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  - conf/gecco/NicholsonW08
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John Nicholson, Mark White:
Maintaining population diversity by maintaining family structures. 533-534
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  - conf/gecco/StalphEMPB08
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Patrick O. Stalph, Marc Ebner, Martin Michel, Bernd Pfaff, Roland Benz:
Multiobjective evolution of a fuzzy controller in a sewage treatment plant. 535-536
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  - conf/gecco/UrfaliogluCK08
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Onay Urfalioglu, A. Enis Çetin, Ercan E. Kuruoglu:
Levy walk evolution for global optimization. 537-538

Evolutionary combinatorial optimization papers

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  - conf/gecco/DoerrHK08
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Benjamin Doerr, Edda Happ, Christian Klein:
Crossover can provably be useful in evolutionary computation. 539-546
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  - conf/gecco/KumarTT08
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Rajeev Kumar, Paresh Tolay, Siddharth Tiwary:
Enhancing solution quality of the biobjective graph coloring problem using hybridization of EA: biobjective graph coloring problem. 547-554
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  - conf/gecco/OchoaTVD08
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Gabriela Ochoa, Marco Tomassini, Sébastien Vérel, Christian Darabos:
A study of NK landscapes' basins and local optima networks. 555-562
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  - conf/gecco/SteitzR08
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Wolfgang Steitz, Franz Rothlauf:
Orientation matters: how to efficiently solve ocst problems with problem-specific EAs. 563-570
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  - conf/gecco/Terashima-MarinORV08
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Hugo Terashima-Marín, José Carlos Ortiz-Bayliss, Peter Ross, Manuel Valenzuela-Rendón:
Hyper-heuristics for the dynamic variable ordering in constraint satisfaction problems. 571-578
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  - conf/gecco/ToyamaSM08
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Fubito Toyama, Kenji Shoji, Juichi Miyamichi:
An iterated greedy algorithm for the node placement problem in bidirectional Manhattan street networks. 579-584
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  - conf/gecco/WhitleySH08
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Darrell Whitley, Andrew M. Sutton, Adele E. Howe:
Understanding elementary landscapes. 585-592
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  - conf/gecco/YoonKM08
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Yourim Yoon, Yong-Hyuk Kim, Byung Ro Moon:
Feasibility-preserving crossover for maximum k-coverage problem. 593-598

Evolutionary combinatorial optimization posters

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  - conf/gecco/AraujoL08
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Ricardo M. Araujo, Luís C. Lamb:
Distributed problem solving by memetic networks: extended abstract. 599-600
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  - conf/gecco/Bader-El-DenP08
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Mohamed Bahy Bader-El-Den, Riccardo Poli:
Evolving heuristics with genetic programming. 601-602
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  - conf/gecco/Borgulya08
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István Borgulya:
A parallel evolutionary algorithm for unconstrained binary quadratic problems. 603-604
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  - conf/gecco/BorschbachE08
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M. Borschbach, A. Exeler:
A Tabu history driven crossover operator design for memetic algorithm applied to Max-2SAT-problems. 605-606
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  - conf/gecco/Julstrom08
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Bryant A. Julstrom:
An evolutionary algorithm for some cases of the single-source constrained plant location problem. 607-608
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  - conf/gecco/KellerP08
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Robert E. Keller, Riccardo Poli:
Subheuristic search and scalability in a hyperheuristic. 609-610
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  - conf/gecco/KhaledJ08
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Arindam Khaled, Bryant A. Julstrom:
Greedy heuristics and evolutionary algorithms for the bounded minimum-label spanning tree problem. 611-612
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  - conf/gecco/MahdabiJA08
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Parvaz Mahdabi, Saeed Jalili, Mahdi Abadi:
A multi-start quantum-inspired evolutionary algorithm for solving combinatorial optimization problems. 613-614
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  - conf/gecco/QasemP08
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Mohamed Qasem, Adam Prügel-Bennett:
Complexity of Max-SAT using stochastic algorithms. 615-616

Evolutionary multiobjective optimization papers

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  - conf/gecco/AvigadB08
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Gideon Avigad, Jürgen Branke:
Embedded evolutionary multi-objective optimization for worst case robustness. 617-624
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  - conf/gecco/DattaFFT08
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Dilip Datta, José Rui Figueira, Carlos M. Fonseca, Fernando Tavares-Pereira:
Graph partitioning through a multi-objective evolutionary algorithm: a preliminary study. 625-632
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  - conf/gecco/Deb08
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Kalyanmoy Deb:
A robust evolutionary framework for multi-objective optimization. 633-640
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  - conf/gecco/HorobaN08
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Christian Horoba, Frank Neumann:
Benefits and drawbacks for the use of epsilon-dominance in evolutionary multi-objective optimization. 641-648
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  - conf/gecco/IshibuchiTHN08
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Hisao Ishibuchi, Noritaka Tsukamoto, Yasuhiro Hitotsuyanagi, Yusuke Nojima:
Effectiveness of scalability improvement attempts on the performance of NSGA-II for many-objective problems. 649-656
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  - conf/gecco/KanohH08
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Hitoshi Kanoh, Kenta Hara:
Hybrid genetic algorithm for dynamic multi-objective route planning with predicted traffic in a real-world road network. 657-664
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  - conf/gecco/LizarragaAR08
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Giovanni Lizárraga Lizárraga, Arturo Hernández Aguirre, Salvador Botello Rionda:
G-Metric: an M-ary quality indicator for the evaluation of non-dominated sets. 665-672
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  - conf/gecco/JaimesCC08
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Antonio López Jaimes, Carlos A. Coello Coello, Debrup Chakraborty:
Objective reduction using a feature selection technique. 673-680
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  - conf/gecco/SantosSM08
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Eulanda Miranda dos Santos, Robert Sabourin, Patrick Maupin:
Pareto analysis for the selection of classifier ensembles. 681-688
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  - conf/gecco/MartiGBM08
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Luis Martí, Jesús García, Antonio Berlanga, José Manuel Molina:
Introducing MONEDA: scalable multiobjective optimization with a neural estimation of distribution algorithm. 689-696
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  - conf/gecco/PfeifferGR08
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Jella Pfeiffer, Uli Golle, Franz Rothlauf:
Reference point based multi-objective evolutionary algorithms for group decisions. 697-704
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  - conf/gecco/SchuetzeSC08
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Oliver Schütze, Gustavo Sanchez, Carlos A. Coello Coello:
A new memetic strategy for the numerical treatment of multi-objective optimization problems. 705-712
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  - conf/gecco/SchuetzeCTT08
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Oliver Schütze, Carlos A. Coello Coello, Emilia Tantar, El-Ghazali Talbi:
Computing finite size representations of the set of approximate solutions of an MOP with stochastic search algorithms. 713-720
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  - conf/gecco/TalukderKB08
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A. K. M. Khaled Ahsan Talukder, Michael Kirley, Rajkumar Buyya:
A pareto following variation operator for fast-converging multiobjective evolutionary algorithms. 721-728
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  - conf/gecco/TiwariKFD08
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Santosh Tiwari, Patrick Koch, Georges Fadel, Kalyanmoy Deb:
AMGA: an archive-based micro genetic algorithm for multi-objective optimization. 729-736
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  - conf/gecco/UlrichBZ08
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Tamara Ulrich, Dimo Brockhoff, Eckart Zitzler:
Pattern identification in pareto-set approximations. 737-744
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  - conf/gecco/WickramasingheL08
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Upali K. Wickramasinghe, Xiaodong Li:
Integrating user preferences with particle swarms for multi-objective optimization. 745-752

Evolutionary multiobjective optimization posters

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  - conf/gecco/AvigadC08
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Gideon Avigad, Carlos A. Coello Coello:
Solving constrained multi-objective problems by objective space analysis. 753-754
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  - conf/gecco/GamhewaH08
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Sadeesha Gamhewa, Philip Hingston:
Testing parallelization paradigms for MOEAs. 755-756
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  - conf/gecco/LeonMS08
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Coromoto León, Gara Miranda, Carlos Segura:
Parallel hyperheuristic: a self-adaptive island-based model for multi-objective optimization. 757-758
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  - conf/gecco/LizarragaAR08a
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Giovanni Lizárraga Lizárraga, Arturo Hernández Aguirre, Salvador Botello Rionda:
On the possibility to create a compatible--complete unary comparison method for evolutionary multiobjective algorithms. 759-760
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  dblp key:
  - conf/gecco/Lust08