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ORCIDGECCO 2013: Amsterdam, The Netherlands - Companion Material
- Christian Blum, Enrique Alba:
Genetic and Evolutionary Computation Conference, GECCO '13, Amsterdam, The Netherlands, July 6-10, 2013, Companion Material Proceedings. ACM 2013, ISBN 978-1-4503-1964-5
Ant colony optimization and swarm intelligence
- Subhodip Biswas
, Souvik Kundu, Swagatam Das, Athanasios V. Vasilakos:
Information sharing in bee colony for detecting multiple niches in non-stationary environments. 1-2 - Ying Lin, Jun Zhang:
Ant colony optimization with adaptive heuristics design. 3-4 - Simone A. Ludwig:
Towards a repulsive and adaptive particle swarm optimization algorithm. 5-6 - Dattatraya Magatrao, Shameek Ghosh, Valadi K. Jayaraman, Patrick Siarry:
Simultaneous gene selection and cancer classification using a hybrid group search optimizer. 7-8 - Katherine M. Malan, Andries P. Engelbrecht:
Steep gradients as a predictor of PSO failure. 9-10 - Carlos M. Fernandes, Juan Julián Merelo Guervós, Juan Luis Jiménez Laredo, Carlos Cotta, Agostinho C. Rosa:
Partially connected topologies for particle swarm. 11-12 - Samadhi Nallaperuma, Markus Wagner, Frank Neumann:
Ant colony optimisation and the traveling salesperson problem: hardness, features and parameter settings. 13-14 - Khalid M. Salama, Alex Alves Freitas:
Evaluating the use of different measure functions in the predictive quality of ABC-miner. 15-16 - Manuel Schmitt, Rolf Wanka:
Particles prefer walking along the axes: experimental insights into the behavior of a particle swarm. 17-18 - Liang Yin, Xiaomin Hu, Jun Zhang:
Space-based initialization strategy for particle swarm optimization. 19-20
Artificial life/robotics/evolvable hardware
- Anthony J. Clark, Philip K. McKinley:
Evolutionary optimization of robotic fish control and morphology. 21-22 - Jeff Clune, Jean-Baptiste Mouret, Hod Lipson:
Summary of "the evolutionary origins of modularity". 23-24 - Jeff Clune, Dusan Misevic, Charles Ofria, Richard E. Lenski, Santiago F. Elena, Rafael Sanjuán:
Natural selection fails to optimize mutation rates for long-term adaptation on rugged fitness landscapes. 25-26 - Corrado Grappiolo, Julian Togelius, Georgios N. Yannakakis:
Using reinforcement learning and artificial evolution for the detection of group identities in complex adaptive artificial societies. 27-28 - Francis Jeanson, Anthony White:
Dynamic memory for robot control via delay neural networks. 29-30 - Sylvain Koos, Antoine Cully, Jean-Baptiste Mouret:
High resilience in robotics with a multi-objective evolutionary algorithm. 31-32 - Jean-Marc Montanier, Nicolas Bredèche:
Evolution of altruism: spatial dispersion and consumption strategies. 33-34 - Miguel Oliveira, Pedro Silva, Cristina P. Santos, Lino A. Costa:
Sensitivity analysis of a crawl gait multi-objective optimization system. 35-36 - Pedro Trueba, Abraham Prieto, Francisco Bellas:
Distributed embodied evolution for collective tasks: parametric analysis of a canonical algorithm. 37-38
Biological and biomedical applications
- Eddy J. Bautista, Ranjan Srivastava:
Leveraging ensemble information of evolving populations in genetic algorithms to identify incomplete metabolic pathways. 39-40 - Pawel Blazej, Pawel Mackiewicz, Stanislaw Cebrat, Malgorzata Wanczyk:
Using evolutionary algorithms in finding of optimized nucleotide substitution matrices. 41-42 - Rashid Ibragimov, Jan Martens, Jiong Guo, Jan Baumbach:
NABEECO: biological network alignment with bee colony optimization algorithm. 43-44 - Maciej Sobczynski, Pawel Mackiewicz:
Analysis of relationship between amino acid composition of proteins and environmental features of microorganisms using evolutionary algorithm and self-organizing maps. 45-46
Digital entertainment technologies and Arts
- Christopher A. Ballinger, Sushil J. Louis:
Comparing coevolution, genetic algorithms, and hill-climbers for finding real-time strategy game plans. 47-48 - Oliver Bown, Rob Saunders:
Multi-feature visualisations of phenotypic behaviour for creative interactive evolution. 49-50 - Tiago Fernandes Tavares, Alan Godoy:
Sonification of population behavior in particle swarm optimization. 51-52
Estimation of distribution algorithms
- Marc-André Gardner, Christian Gagné, Marc Parizeau:
Estimation of distribution algorithm based on hidden Markov models for combinatorial optimization. 53-54 - B. Hoda Helmi, Adel Torkaman Rahmani, Martin Pelikan:
Factor graph based factorization distribution algorithm. 55-56
Evolution strategies and evolutionary programming
- Md. Tanvir Alam Anik, Saif Ahmed, Md. Monirul Islam:
Fitness tracking based evolutionary programming: a novel approach for function optimization. 57-58 - Menglin Li, Colm O'Riordan:
Analysis of generalised tit-for-tat strategies in evolutionary spatial n-player prisoner dilemmas: mr. 59-60 - Yi Sun, Tom Schaul, Faustino J. Gomez, Jürgen Schmidhuber:
A linear time natural evolution strategy for non-separable functions. 61-62
Evolutionary combinatorial optimization and metaheuristics
- Rainer Amorim, Bruno Dias, Rosiane de Freitas Rodrigues, Eduardo Uchoa:
A hybrid genetic algorithm with local search approach for E/T scheduling problems on identical parallel machines. 63-64 - Shahriar Asta, Ender Özcan, Andrew J. Parkes:
Dimension reduction in the search for online bin packing policies. 65-66 - Marius Gheorghita, Irene Moser, Aldeida Aleti:
Characterising fitness landscapes using predictive local search. 67-68 - María Alejandra Guzmán, Gustavo Alfredo Bula:
Bio-inspired and evolutionary algorithms applied to a bi-objective network design problem. 69-70 - Yun-yang Ma, Yue-jiao Gong, Wei-neng Chen, Jun Zhang:
A set-based locally informed discrete particle swarm optimization. 71-72 - Eunice Oliveira, Carlos Henggeler Antunes, Álvaro Gomes:
A hybrid evolutionary simulated annealing algorithm with incorporation of preferences. 73-74 - Shubhashis Kumar Shil, Malek Mouhoub, Samira Sadaoui:
An approach to solve winner determination in combinatorial reverse auctions using genetic algorithms. 75-76 - Andre Luis Silva, Jaime Arturo Ramírez, Felipe Campelo:
A statistical study of discrete differential evolution approaches for the capacitated vehicle routing problem. 77-78 - Ricardo Martins Abreu e Silva, Mauricio G. C. Resende, Panos M. Pardalos, Joao L. Faco:
Biased random-key genetic algorithm for linearly-constrained global optimization. 79-80 - Wenbo Wang, Xiaolin Chang, Jiqiang Liu, Bin Wang:
Simulated annealing based resource allocation for cloud data centers. 81-82 - Shiu Yin Yuen, Xin Zhang:
On composing an (evolutionary) algorithm portfolio. 83-84
Evolutionary multiobjective optimization
- Hernán E. Aguirre, Arnaud Liefooghe, Sébastien Vérel, Kiyoshi Tanaka:
Population size and scalability in the aeseh evolutionary many-objective algorithm. 85-86 - Karim J. Chichakly, Margaret J. Eppstein:
Improving uniformity of solution spacing in biobjective evolution. 87-88 - Fillipe Goulart, Lucas S. Batista, Felipe Campelo:
Influence of relaxed dominance criteria in multiobjective evolutionary algorithms. 89-90 - Oliver Kirkland, Beatriz de la Iglesia:
MOEA for clustering: comparison of mutation operators. 91-92 - Laurent Moalic, Sid Lamrous, Alexandre Caminada:
A memetic algorithm for multiobjective problems. 93-94 - Kaname Narukawa:
Finding a diverse set of decision variables in evolutionary many-objective optimization. 95-96 - Martin Pilát, Roman Neruda:
Multiobjectivization for classifier parameter tuning. 97-98 - Mihai Suciu, Marcel Cremene, Dumitru Dumitrescu:
Exploring some scalarization techniques for EMOAs. 99-100 - Rui Wang, Robin C. Purshouse, Peter J. Fleming:
Preference-inspired co-evolutionary algorithm using weights for many-objective optimization. 101-102 - Irfan Younas, Farzad Kamrani, Rassul Ayani:
Optimization of assignment of tasks to teams using multi-objective metaheuristics. 103-104
Generative and developmental systems
- Jacob Beal, Aaron Adler, Hala Mostafa:
Mixed geometric-topological representation for electromechanical design. 105-106 - Alessandro Fontana, Borys Wróbel:
Morphogen-based self-generation of evolving artificial multicellular structures with millions of cells. 107-108 - Alyssa Morgan, Daniel Coore:
Extending the growing point language to self-organise patterns in three dimensions. 109-110 - Joe Townsend, Ed Keedwell, Antony Galton:
Artificial development of connections in SHRUTI networks using a multi objective genetic algorithm. 111-112
Genetic algorithms
- Md. Asafuddoula, Tapabrata Ray, Ruhul A. Sarker:
An efficient constraint handling approach for optimization problems with limited feasibility and computationally expensive constraint evaluations. 113-114 - Matthew J. Craven, Henri C. Jimbo:
An EA for portfolio selection over multiple investment periods with exponential transaction costs. 115-116 - Christian Darabos, Craig O. Mackenzie, Marco Tomassini, Mario Giacobini, Jason H. Moore:
Coevolution of rules and topology in cellular automata. 117-118 - Benjamin Doerr, Paul Fischer, Astrid Hilbert, Carsten Witt:
Evolutionary algorithms for the detection of structural breaks in time series: extended abstract. 119-120 - Xiao-ma Huang, Yue-jiao Gong, Jun Zhang:
A novel pheromone-based evolutionary algorithm for solving degree-constrained minimum spanning tree problem. 121-122 - Yuan-Long Li, Zhi-hui Zhan, Jun Zhang:
Differential evolution enhanced with evolution path vector. 123-124 - Rumana Nazmul, Madhu Chetty:
A priority based parental selection method for genetic algorithm. 125-126 - Tomasz Oliwa, Khaled Rasheed:
An overlapping variable linkage benchmark suite. 127-128 - Jaroslaw Skaruz, Artur Niewiadomski, Wojciech Penczek:
Automated abstract planning with use of genetic algorithms. 129-130 - Zhuoran Xu, Mikko Polojärvi, Masahito Yamamoto, Masashi Furukawa:
An attraction basin estimating genetic algorithm for multimodal optimization. 131-132
Genetic programming
- Nailah Al-Madi, Simone A. Ludwig:
Segment-based genetic programming. 133-134 - Urvesh Bhowan, Mark Johnston, Mengjie Zhang:
Comparing ensemble learning approaches in genetic programming for classification with unbalanced data. 135-136 - Mauro Castelli, Davide Castaldi, Leonardo Vanneschi, Ilaria Giordani, Francesco Archetti, Daniele Maccagnola:
An efficient implementation of geometric semantic genetic programming for anticoagulation level prediction in pharmacogenetics. 137-138 - J. Manuel Colmenar, Alfredo Cuesta-Infante, José L. Risco-Martín, José Ignacio Hidalgo:
An evolutionary methodology for automatic design of finite state machines. 139-140 - Jeannie Fitzgerald, R. Muhammad Atif Azad, Conor Ryan:
Bootstrapping to reduce bloat and improve generalisation in genetic programming. 141-142 - Ilknur Icke, Joshua Clifford Bongard:
Automatic identification of hierarchy in multivariate data. 143-144 - Adriano Soares Koshiyama, Douglas Mota Dias, André Vargas Abs da Cruz, Marco Aurélio Cavalcanti Pacheco:
Numerical optimization by multi-gene genetic programming. 145-146 - Julian F. Miller, Maktuba Mohid:
Function optimization using cartesian genetic programming. 147-148 - Quang Uy Nguyen, Truong Cong Doan, Xuan Hoai Nguyen, Michael O'Neill:
Guiding function set selection in genetic programming based on fitness landscape analysis. 149-150 - Clíodhna Tuite, Michael O'Neill, Anthony Brabazon:
Towards a dynamic benchmark for genetic programming. 151-152
Genetics based machine learning
- Erik Hemberg, Kalyan Veeramachaneni, Franck Dernoncourt, Mark Wagy, Una-May O'Reilly:
Imprecise selection and fitness approximation in a large-scale evolutionary rule based system for blood pressure prediction. 153-154 - Xianneng Li, Kotaro Hirasawa:
Extended rule-based genetic network programming. 155-156 - Syahaneim Marzukhi, Will N. Browne, Mengjie Zhang:
Adaptive artificial datasets to discover the effects of domain features for classification tasks. 157-158 - Sara Rahimi, Andrew R. McIntyre, Malcolm I. Heywood, Nur Zincir-Heywood:
Label free change detection on streaming data with cooperative multi-objective genetic programming. 159-160 - Ali Vahdat, Malcolm I. Heywood:
Flat vs. symbiotic evolutionary subspace clusterings. 161-162
Integrative genetic and evolutionary computation
- Zeineb Chelly, Zied Elouedi:
A new data pre-processing approach for the dendritic cellalgorithm based on fuzzy rough set theory. 163-164 - Pablo Rangel, José Ricardo Potier de Oliveira, José Gomes de Carvalho Jr., Beatriz de Souza Leite Pires de Lima, Solange Guimarães:
A fuzzy evolutionary simulation model (FESModel) for fleet combat strategies. 165-166 - Martha Johanna Sepúlveda, Guy Gogniat, Daniel Mauricio Sepúlveda, Ricardo Pires, Jiang Chau Wang, Marius Strum:
3DMIA: a multi-objective artificial immune algorithm for 3D-MPSoC multi-application 3D-NoC mapping. 167-168
Parallel evolutionary systems
- Ibrahim Aljarah, Simone A. Ludwig:
Towards a scalable intrusion detection system based on parallel PSO clustering using mapreduce. 169-170 - Mike J. Gibson, Ed Keedwell, Dragan A. Savic:
Understanding the efficient parallelisation of cellular automata on CPU and GPGPU hardware. 171-172 - Rodolfo Ayala Lopes, Rodrigo César Pedrosa Silva, Felipe Campelo, Frederico G. Guimarães:
Dynamic selection of migration flows in island model differential evolution. 173-174
Real world applications
- Kester Dean Clegg, Robert Alexander:
The discovery and quantification of risk in high dimensional search spaces. 175-176 - Douglas Adriano Augusto, Heder S. Bernardino, Helio J. C. Barbosa:
Improving recruitment effectiveness using genetic programming techniques. 177-178 - António Canelas, Rui Ferreira Neves, Nuno Horta:
Multi-dimensional pattern discovery in financial time series using sax-ga with extended robustness. 179-180 - Alexander Wainwright Churchill, Phil Husbands, Andrew Philippides:
Tool sequence optimisation using preferential multi-objective search. 181-182 - William J. Curran, Adrian K. Agogino, Kagan Tumer:
Partitioning agents and shaping their evaluation functions in air traffic problems with hard constraints. 183-184 - Rajesh Kudikala, Andrew R. Mills, Peter J. Fleming, Graham F. Tanner, Jonathan E. Holt:
Aero engine health management system architecture design using multi-criteria optimization. 185-186 - Gaétan Marceau, Pierre Savéant, Marc Schoenauer:
Multiobjective optimization for reducing delays and congestion in air traffic management. 187-188 - Satoshi Ono, Takeru Maehara, Hirokazu Sakaguchi, Daisuke Taniyama, Ryo Ikeda, Shigeru Nakayama:
Self-adaptive niching differential evolution and its application to semi-fragile watermarking for two-dimensional barcodes on mobile phone screen. 189-190 - Stjepan Picek, Domagoj Jakobovic, Marin Golub:
Evolving cryptographically sound boolean functions. 191-192 - Neil Urquhart, Catherine Scott, Emma Hart:
Incorporating emissions models within a multi-objectivevehicle routing problem. 193-194 - Xiaoxiao Yuan, Chuanfu Xiao, Xiyu Lv, Jing Liu:
A multi-agent genetic algorithm for resource constrained project scheduling problems. 195-196
Search-based software engineering
- Faisal Alrebeish, Rami Bahsoon:
Using portfolio theory to diversify the dynamic allocation of web services in the cloud. 197-198 - Igor Buzhinsky, Vladimir Ulyantsev, Fedor Tsarev, Anatoly Shalyto:
Search-based construction of finite-state machines with real-valued actions: new representation model. 199-200 - Darren M. Chitty:
Multi-objective evolutionary auto-tuning for optimising algorithm speed and cache memory usage. 201-202 - Brendan Cody-Kenny, Stephen Barrett:
Self-focusing genetic programming for software optimisation. 203-204 - Rim Mahouachi, Marouane Kessentini, Mel Ó Cinnéide:
Search-based refactoring detection. 205-206 - Ana Claudia Bastos Loureiro Monção, Celso G. Camilo-Junior, Leonardo T. Queiroz, Cássio L. Rodrigues, Plínio de Sá Leitão Júnior, Auri M. R. Vincenzi:
Applying genetic algorithms to data selection for SQL mutation analysis. 207-208 - Aurora Ramírez, José Raúl Romero, Sebastián Ventura:
A novel component identification approach using evolutionary programming. 209-210 - Pedro Reales Mateo, Macario Polo Usaola:
Automated test generation for multi-state systems. 211-212
Self-* search
- Nikola Aulig, Markus Olhofer:
Evolutionary generation of neural network update signals for the topology optimization of structures. 213-214 - Giorgos Karafotias, Mark Hoogendoorn, A. E. Eiben:
Parameter control: strategy or luck? 215-216 - Gabriel Luque, Enrique Alba:
Math oracles: a new way of designing efficient self-adaptive algorithms. 217-218 - Jaromír Mlejnek, Jirí Kubalík:
Evolutionary hyperheuristic for capacitated vehicle routing problem. 219-220 - Roberto Ugolotti, Youssef S. G. Nashed, Pablo Mesejo, Stefano Cagnoni:
Algorithm configuration using GPU-based metaheuristics. 221-222
Theory
- Sandra Astete Morales, Jialin Liu, Olivier Teytaud:
Noisy optimization convergence rates. 223-224
Introductory tutorials
- Erik D. Goodman:
Introduction to genetic algorithms. 225-246 - Una-May O'Reilly:
Genetic programming: a tutorial introduction. 247-264 - Thomas Bäck:
Evolution strategies: basic introduction. 265-292 - Kenneth A. De Jong:
Evolutionary computation: a unified approach. 293-306 - Dimo Brockhoff:
GECCO 2013 tutorial on evolutionary multiobjective optimization. 307-334 - Franz Rothlauf:
Representations for evolutionary algorithms. 335-356