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ORCIDGECCO 2008: Atlanta, Georgia, USA
- 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
- M. A. Hannan Bin Azhar, Farzin Deravi
, Keith R. Dimond:
Criticality dispersion in swarms to optimize n-tuples. 1-8 - 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 - Luis de Marcos, José-Javier Martínez, José Antonio Gutiérrez:
Swarm intelligence in e-learning: a learning object sequencing agent based on competencies. 17-24 - Erik J. Dries, Gilbert L. Peterson:
Scaling ant colony optimization with hierarchical reinforcement learning partitioning. 25-32 - Sascha Häckel, Marco Fischer, David Zechel, Tobias Teich:
A multi-objective ant colony approach for pareto-optimization using dynamic programming. 33-40 - David J. Howden, Tim Hendtlass:
Collective intelligence and bush fire spotting. 41-48 - Johannes Jordan, Sabine Helwig, Rolf Wanka:
Social interaction in particle swarm optimization, the ranked FIPS, and adaptive multi-swarms. 49-56 - 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 - Nauman Mazhar, Muddassar Farooq:
A sense of danger: dendritic cells inspired artificial immune system for manet security. 63-70 - Marco Antonio Montes de Oca, Thomas Stützle:
Convergence behavior of the fully informed particle swarm optimization algorithm. 71-78 - Marek Ostaszewski, Pascal Bouvry, Franciszek Seredynski:
Denial of service detection and analysis using idiotypic networks paradigm. 79-86 - Millie Pant, Radha Thangaraj, Ajith Abraham:
A new quantum behaved particle swarm optimization. 87-94 - Jorge Peña:
Theoretical and empirical study of particle swarms with additive stochasticity and different recombination operators. 95-102 - Muhammad Saleem, Syed Ali Khayam, Muddassar Farooq:
A formal performance modeling framework for bio-inspired ad hoc routing protocols. 103-110 - Amirali Salehi-Abari, Tony White:
Enhanced generalized ant programming (EGAP). 111-118 - M. Zubair Shafiq, Syed Ali Khayam, Muddassar Farooq:
Improving accuracy of immune-inspired malware detectors by using intelligent features. 119-126 - Thomas Stibor:
Discriminating self from non-self with finite mixtures of multivariate Bernoulli distributions. 127-134 - Dirk Sudholt, Carsten Witt:
Runtime analysis of binary PSO. 135-142 - Sebastian von Mammen, Christian Jacob:
Evolutionary swarm design of architectural idea models. 143-150 - Han Yu:
Optimizing task schedules using an artificial immune system approach. 151-158
Ant colony optimization, swarm intelligence, and artificial immune systems posters
- Abbas Ahmadi, Fakhri Karray, Mohamed Kamel:
Particle swarm clustering ensemble. 159-160 - Aliya Awais, Muddassar Farooq, Muhammad Younus Javed:
Attack analysis & bio-inspired security framework for IP multimedia subsystem. 161-162 - Camelia Chira, D. Dumitrescu, Camelia-Mihaela Pintea:
Heterogeneous sensitive ant model for combinatorial optimization. 163-164 - Junqi Zhang, Kun Liu, Ying Tan, Xingui He:
Allocation of local and global search capabilities of particle in canonical PSO. 165-166 - 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
- Elton Bernardo Bandeira de Melo, Aluizio F. R. Araújo:
Modeling ant colony foraging in dynamic and confined environment. 169-176 - Gregory J. Barlow, Choong K. Oh, Stephen F. Smith:
Evolving cooperative control on sparsely distributed tasks for UAV teams without global communication. 177-184 - Benjamin E. Beckmann, Philip K. McKinley, Charles Ofria:
Selection for group-level efficiency leads to self-regulation of population size. 185-192 - Stefan Bornhofen, Claude Lattaud:
On hopeful monsters, neutral networks and junk code in evolving L-systems. 193-200 - Adam Campbell, Annie S. Wu, Randall Shumaker:
Multi-agent task allocation: learning when to say no. 201-208 - Laura M. Grabowski, Wesley R. Elsberry, Charles Ofria, Robert T. Pennock:
On the evolution of motility and intelligent tactic response. 209-216 - David B. Knoester, Philip K. McKinley, Charles Ofria:
Cooperative network construction using digital germlines. 217-224 - D. W. F. van Krevelen, Geoff S. Nitschke:
Neuro-evolution for a gathering and collective construction task. 225-232 - Geoff Nitschke, Martijn C. Schut:
Designing multi-rover emergent specialization. 233-240 - Joshua L. Payne, Margaret J. Eppstein:
The influence of scaling and assortativity on takeover times in scale-free topologies. 241-248 - 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 - Ivan Tanev, Katsunori Shimohara:
Co-evolution of active sensing and locomotion gaits of simulated snake-like robot. 257-264 - Vinod K. Valsalam, Risto Miikkulainen:
Modular neuroevolution for multilegged locomotion. 265-272 - Srinivasa Shivakar Vulli, Sanjeev Agarwal:
Individual-based artificial ecosystems for design and optimization. 273-280
Artificial life, evolutionary robotics, adaptive behavior, evolvable hardware posters
- Sylvain Cussat-Blanc, Fabien Viale, Hervé Luga, Yves Duthen, Denis Caromel:
Genetic algorithms and grid computing for artificial embryogeny. 281-282 - Stanley Phillips Gotshall, Terry Soule:
Evolving stable behavior in a spino-neuromuscular system model. 283-284 - Jae-Yoon Jung, James A. Reggia:
Nested evolution of an autonomous agent using descriptive encoding. 285-286 - Peter Krah:
Towards efficient evolution of morphology and control. 287-288 - Brian McGinley, Patrick Rocke, Fearghal Morgan, John Maher:
Reconfigurable analogue hardware evolution of adaptive spiking neural network controllers. 289-290 - Adel Torkaman Rahmani, B. Hoda Helmi:
EIN-WUM: an AIS-based algorithm for web usage mining. 291-292 - Kisung Seo, Soohwan Hyun:
Genetic programming based automatic gait generation for quadruped robots. 293-294 - 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 - Leonardo Trujillo, Gustavo Olague, Evelyne Lutton, Francisco Fernández de Vega:
Behavior-based speciation for evolutionary robotics. 297-298
Bioinformatics and computational biology papers
- 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 - Afshin Esmaeili, Christian Jacob:
Evolution of discrete gene regulatory models. 307-314 - Adrien Goëffon, Macha Nikolski, David James Sherman:
An efficient probabilistic population-based descent for the median genome problem. 315-322 - Sandro Pirkwieser, Günther R. Raidl:
Finding consensus trees by evolutionary, variable neighborhood search, and hybrid algorithms. 323-330 - Francisco José Romero-Campero, Hongqing Cao, Miguel Cámara, Natalio Krasnogor:
Structure and parameter estimation for cell systems biology models. 331-338 - 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
- Beatriz García Jiménez, Ricardo Aler, Agapito Ledezma, Araceli Sanchis:
Protein-protein functional association prediction using genetic programming. 347-348 - 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 - 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 - 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
- Wojciech Jaskowski, Krzysztof Krawiec, Bartosz Wieloch:
Fitnessless coevolution. 355-362 - Peter Lichodzijewski, Malcolm I. Heywood:
Managing team-based problem solving with symbiotic bid-based genetic programming. 363-370 - Travis C. Service, Daniel R. Tauritz:
A no-free-lunch framework for coevolution. 371-378 - Min Shi:
An empirical comparison of evolution and coevolution for designing artificial neural network game players. 379-386
Coevolution posters
- Travis C. Service, Daniel R. Tauritz:
Co-optimization algorithms. 387-388 - Liping Yang, Houkuan Huang, Yabin Liu:
A coevolution archive based on problem dimension. 389-390
Estimation of distribution algorithms papers
- Chung-Yao Chuang, Ying-Ping Chen:
On the effectiveness of distributions estimated by probabilistic model building. 391-398 - Carlos M. Fernandes, Cláudio F. Lima, Agostinho C. Rosa:
UMDAs for dynamic optimization problems. 399-406 - 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 - Mark Hauschild, Martin Pelikan, Kumara Sastry, David E. Goldberg:
Using previous models to bias structural learning in the hierarchical BOA. 415-422 - 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 - Cláudio F. Lima, Fernando G. Lobo, Martin Pelikan:
From mating pool distributions to model overfitting. 431-438 - Cláudio F. Lima, Carlos M. Fernandes, Fernando G. Lobo:
Investigating restricted tournament replacement in ECGA for non-stationary environments. 439-446 - Martin Pelikan, Helmut G. Katzgraber, Sigismund Kobe:
Finding ground states of Sherrington-Kirkpatrick spin glasses with hierarchical boa and genetic algorithms. 447-454 - Martin Pelikan, Kumara Sastry, David E. Goldberg:
iBOA: the incremental bayesian optimization algorithm. 455-462
Estimation of distribution algorithms posters
- 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 - 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 - Thyago S. P. C. Duque, David E. Goldberg, Kumara Sastry:
Improving the efficiency of the extended compact genetic algorithm. 467-468 - Arturo Hernández Aguirre, Enrique Raúl Villa Diharce, Selma Barba-Moreno:
An estimation distribution algorithm with the spearman's rank correlation index. 469-470 - Yi Hong, Sam Kwong, Hui Xiong, Qingsheng Ren:
Data clustering using virtual population based incremental learning algorithm with similarity matrix encoding strategy. 471-472 - Pedro P. Mayorga-Alvarez, Arturo Hernández Aguirre:
The directional EDA for global optimization. 473-474 - Siddhartha Shakya, Roberto Santana:
An EDA based on local markov property and gibbs sampling. 475-476 - 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
- 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 - Hans-Georg Beyer, Alexander Melkozerov:
Mutative sigma-self-adaptation can beat cumulative step size adaptation when using weighted recombination. 487-494 - Pilar Caamaño, Francisco Bellas, José Antonio Becerra, Richard J. Duro:
Application domain study of evolutionary algorithms in optimization problems. 495-502 - Jens Jägersküpper, Mike Preuss:
Aiming for a theoretically tractable CSA variant by means of empirical investigations. 503-510 - Silja Meyer-Nieberg, Hans-Georg Beyer:
Why noise may be good: additive noise on the sharp ridge. 511-518 - 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
- Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis:
Non-monotone differential evolution. 527-528 - Derek James:
A comparison of speciation, extinction, and complexification in neuroevolution with and without selection pressure. 529-530 - Aranildo Rodrigues Lima Junior, Tiago Alessandro Espínola Ferreira:
A hybrid method for tuning neural network for time series forecasting. 531-532 - John Nicholson, Mark White:
Maintaining population diversity by maintaining family structures. 533-534 - Patrick O. Stalph, Marc Ebner, Martin Michel, Bernd Pfaff, Roland Benz:
Multiobjective evolution of a fuzzy controller in a sewage treatment plant. 535-536 - Onay Urfalioglu, A. Enis Çetin, Ercan E. Kuruoglu:
Levy walk evolution for global optimization. 537-538
Evolutionary combinatorial optimization papers
- Benjamin Doerr, Edda Happ, Christian Klein:
Crossover can provably be useful in evolutionary computation. 539-546 - 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 - Gabriela Ochoa, Marco Tomassini, Sébastien Vérel, Christian Darabos:
A study of NK landscapes' basins and local optima networks. 555-562 - Wolfgang Steitz, Franz Rothlauf:
Orientation matters: how to efficiently solve ocst problems with problem-specific EAs. 563-570 - 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 - Fubito Toyama, Kenji Shoji, Juichi Miyamichi:
An iterated greedy algorithm for the node placement problem in bidirectional Manhattan street networks. 579-584 - L. Darrell Whitley, Andrew M. Sutton, Adele E. Howe:
Understanding elementary landscapes. 585-592 - Yourim Yoon, Yong-Hyuk Kim, Byung Ro Moon:
Feasibility-preserving crossover for maximum k-coverage problem. 593-598
Evolutionary combinatorial optimization posters
- Ricardo M. Araujo, Luís C. Lamb:
Distributed problem solving by memetic networks: extended abstract. 599-600 - Mohamed Bahy Bader-El-Den, Riccardo Poli:
Evolving heuristics with genetic programming. 601-602 - István Borgulya:
A parallel evolutionary algorithm for unconstrained binary quadratic problems. 603-604 - M. Borschbach, A. Exeler:
A Tabu history driven crossover operator design for memetic algorithm applied to Max-2SAT-problems. 605-606 - Bryant A. Julstrom:
An evolutionary algorithm for some cases of the single-source constrained plant location problem. 607-608 - Robert E. Keller, Riccardo Poli:
Subheuristic search and scalability in a hyperheuristic. 609-610 - Arindam Khaled, Bryant A. Julstrom:
Greedy heuristics and evolutionary algorithms for the bounded minimum-label spanning tree problem. 611-612 - Parvaz Mahdabi, Saeed Jalili, Mahdi Abadi:
A multi-start quantum-inspired evolutionary algorithm for solving combinatorial optimization problems. 613-614 - Mohamed Qasem, Adam Prügel-Bennett:
Complexity of Max-SAT using stochastic algorithms. 615-616
Evolutionary multiobjective optimization papers
- Gideon Avigad, Jürgen Branke:
Embedded evolutionary multi-objective optimization for worst case robustness. 617-624 - Dilip Datta, José Rui Figueira, Carlos M. Fonseca, Fernando Tavares-Pereira:
Graph partitioning through a multi-objective evolutionary algorithm: a preliminary study. 625-632 - Kalyanmoy Deb:
A robust evolutionary framework for multi-objective optimization. 633-640 - Christian Horoba, Frank Neumann:
Benefits and drawbacks for the use of epsilon-dominance in evolutionary multi-objective optimization. 641-648 - 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 - Hitoshi Kanoh, Kenta Hara:
Hybrid genetic algorithm for dynamic multi-objective route planning with predicted traffic in a real-world road network. 657-664 - 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 - Antonio López Jaimes, Carlos A. Coello Coello, Debrup Chakraborty:
Objective reduction using a feature selection technique. 673-680 - Eulanda Miranda dos Santos, Robert Sabourin, Patrick Maupin:
Pareto analysis for the selection of classifier ensembles. 681-688 - Luis Martí, Jesús García, Antonio Berlanga, José Manuel Molina:
Introducing MONEDA: scalable multiobjective optimization with a neural estimation of distribution algorithm. 689-696 - Jella Pfeiffer, Uli Golle, Franz Rothlauf:
Reference point based multi-objective evolutionary algorithms for group decisions. 697-704 - Oliver Schütze, Gustavo Sanchez, Carlos A. Coello Coello:
A new memetic strategy for the numerical treatment of multi-objective optimization problems. 705-712