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ORCIDGECCO 2010: Portland, Oregon, USA
- Martin Pelikan, Jürgen Branke:
Genetic and Evolutionary Computation Conference, GECCO 2010, Proceedings, Portland, Oregon, USA, July 7-11, 2010. ACM 2010, ISBN 978-1-4503-0072-8
ACO/Swarm Intelligence Papers
- You Zhou, Ying Tan
:
Particle swarm optimization with triggered mutation and its implementation based on GPU. 1-8 - Ziyu Chen, Zhongshi He, Cheng Zhang:
Particle swarm optimizer with self-adjusting neighborhoods. 9-14 - Leonardo Vanneschi, Daniele Codecasa, Giancarlo Mauri:
An empirical comparison of parallel and distributed particle swarm optimization methods. 15-22 - Ying Lin, Xiaomin Hu, Jun Zhang:
An ant-colony-system-based activity scheduling method for the lifetime maximization of heterogeneous wireless sensor networks. 23-30 - Wei-jie Yu, Jun Zhang:
Pheromone-distribution-based adaptive ant colony system. 31-38 - Zhi-hui Zhan, Jun Zhang:
Self-adaptive differential evolution based on PSO learning strategy. 39-46 - Nyree Lemmens, Karl Tuyls:
Stigmergic landmark routing: a routing algorithm for wireless mobile ad-hoc networks. 47-54 - Kalyanmoy Deb, Nikhil Padhye:
Development of efficient particle swarm optimizers by using concepts from evolutionary algorithms. 55-62 - Frank Neumann, Dirk Sudholt, Carsten Witt:
A few ants are enough: ACO with iteration-best update. 63-70 - Manuel López-Ibáñez, Thomas Stützle:
The impact of design choices of multiobjective antcolony optimization algorithms on performance: an experimental study on the biobjective TSP. 71-78
ACO/swarm intelligence posters
- Sarah Salim, Mohsin Javed, Ali Hammad Akbar:
Honey-bee dancing-inspired architecture for fault tolerance in wireless sensor networks. 79-80 - Zhi-hui Zhan, Jun Zhang:
An parallel particle swarm optimization approach for multiobjective optimization problems. 81-82 - Ammar W. Mohemmed, Mengjie Zhang, Will N. Browne:
Particle swarm optimisation for outlier detection. 83-84 - Jeremy B. Brown, Manfred Huber:
Pseudo-hierarchical ant-based clustering using a heterogeneous agent hierarchy and automatic boundary formation. 85-86
Artificial life/robotics/evolvable hardware papers
- Frederick Ducatelle, Gianni A. Di Caro, Luca Maria Gambardella:
Cooperative self-organization in a heterogeneous swarm robotic system. 87-94 - Marcin L. Pilat, Christian Jacob:
Evolution of vision capabilities in embodied virtual creatures. 95-102 - Joel Lehman, Kenneth O. Stanley:
Revising the evolutionary computation abstraction: minimal criteria novelty search. 103-110 - Josh C. Bongard, Gregory S. Hornby:
Guarding against premature convergence while accelerating evolutionary search. 111-118 - Sylvain Koos, Jean-Baptiste Mouret, Stéphane Doncieux:
Crossing the reality gap in evolutionary robotics by promoting transferable controllers. 119-126 - Matt Knudson, Kagan Tumer:
Coevolution of heterogeneous multi-robot teams. 127-134 - Heather Goldsby, David B. Knoester, Charles Ofria:
Evolution of division of labor in genetically homogenous groups. 135-142 - Brian D. Connelly, Benjamin E. Beckmann, Philip K. McKinley:
Resource abundance promotes the evolution of public goods cooperation. 143-150
Artificial life/robotics/evolvable hardware posters
- Jonathan D. Hiller, Hod Lipson:
Morphological evolution of freeform robots. 151-152 - Chrisantha Fernando:
Neuronal replicators solve the stability-plasticity dilemma. 153-154
Bioinformatics, computational, systems and synthetic biology papers
- Ka-Chun Wong, Kwong-Sak Leung, Man Hon Wong:
Protein structure prediction on a lattice model via multimodal optimization techniques. 155-162 - Antonella Farinaccio, Leonardo Vanneschi, Mario Giacobini, Giancarlo Mauri, Paolo Provero:
On the use of genetic programming for the prediction of survival in cancer. 163-170 - Leung-Yau Lo, Tak-Ming Chan, Kin-Hong Lee, Kwong-Sak Leung:
Challenges rising from learning motif evaluation functions using genetic programming. 171-178 - Uday Kamath, Kenneth A. De Jong, Amarda Shehu:
Selecting predictive features for recognition of hypersensitive sites of regulatory genomic sequences with an evolutionary algorithm. 179-186 - Carlos García-Martínez, Claudio Lima, Jamie Twycross, Natalio Krasnogor, Manuel Lozano:
P system model optimisation by means of evolutionary based search algorithms. 187-194 - Ryan J. Urbanowicz, Jason H. Moore:
The application of michigan-style learning classifiersystems to address genetic heterogeneity and epistasisin association studies. 195-202 - Emily Rose Holzinger, Carrie C. Buchanan, Scott M. Dudek, Eric Torstenson, Stephen D. Turner, Marylyn D. Ritchie:
Initialization parameter sweep in ATHENA: optimizing neural networks for detecting gene-gene interactions in the presence of small main effects. 203-210
Bioinformatics, computational, systems and synthetic biology posters
- Emrah Atilgan, Jianjun Hu:
Efficient protein-ligand docking using sustainable evolutionary algorithm. 211-212 - Jirí Kubalík, Petr Buryan, Libor Wagner:
Solving the DNA fragment assembly problem efficiently using iterative optimization with evolved hypermutations. 213-214 - Nicholas A. Sinnott-Armstrong, Casey S. Greene, Jason H. Moore:
Fast genome-wide epistasis analysis using ant colony optimization for multifactor dimensionality reduction analysis on graphics processing units. 215-216
Combinatorial optimization and metaheuristics papers
- He Jiang, Yudong Chen:
An efficient algorithm for generalized minimum spanning tree problem. 217-224 - Serban Iordache:
Consultant-guided search: a new metaheuristic for combinatorial optimization problems. 225-232 - Shelly Xiaonan Wu, Wolfgang Banzhaf:
A hierarchical cooperative evolutionary algorithm. 233-240 - Jacques Bibai, Pierre Savéant, Marc Schoenauer, Vincent Vidal:
On the generality of parameter tuning in evolutionary planning. 241-248 - Jirí Kubalík:
Efficient stochastic local search algorithm for solving the shortest common supersequence problem. 249-256 - Torsten Hildebrandt, Jens Heger, Bernd Scholz-Reiter:
Towards improved dispatching rules for complex shop floor scenarios: a genetic programming approach. 257-264 - K. M. Leung, Xi Zhang:
Discrete versus continuous parametrization of bank credit rating systems optimization using differential evolution. 265-272 - Forrest Stonedahl, Susa H. Stonedahl:
Heuristics for sampling repetitions in noisy landscapes with fitness caching. 273-280 - Zhigang Ren, Zuren Feng:
An ant colony optimization approach to the multiple-choice multidimensional knapsack problem. 281-288
Combinatorial optimization and metaheuristics posters
- Erkan Dogan, Ferhat Erdal, Mehmet Polat Saka:
Optimum design of grillage systems under code provisions using particle swarm optimization. 289-290 - Juan Julián Merelo Guervós, Antonio Miguel Mora, Thomas Philip Runarsson:
Beating exhaustive search at its own game: revisiting evolutionary mastermind. 291-292 - Chun-Wei Tsai, Shih-Pang Tseng, Ming-Chao Chiang, Chu-Sing Yang:
A framework for accelerating metaheuristics via pattern reduction. 293-294 - Steven O. Kimbrough, Ann Kuo, Hoong Chuin Lau:
Effective heuristic methods for finding non-optimal solutions of interest in constrained optimization models. 295-296 - Eunice López-Camacho, Hugo Terashima-Marín, Peter Ross, Manuel Valenzuela-Rendón:
Problem-state representations in a hyper-heuristic approach for the 2D irregular BPP. 297-298 - Elizabeth Montero, María Cristina Riff, Bertrand Neveu:
An evaluation of off-line calibration techniques for evolutionary algorithms. 299-300 - Wolfgang Steitz, Franz Rothlauf:
Solving OCST problems with problem-specific guided local search. 301-302
Estimation of distribution algorithms (papers)
- Elizabeth Radetic, Martin Pelikan:
Spurious dependencies and EDA scalability. 303-310 - Chung-Yao Chuang, Wen-Lian Hsu:
Multivariate multi-model approach for globally multimodal problems. 311-318 - Jinghui Zhong, Jun Zhang:
A robust estimation of distribution algorithm for power electronic circuits design. 319-326 - Jiadong Yang, Hua Xu, Yunpeng Cai, Peifa Jia:
Effective structure learning for EDA via L1-regularizedbayesian networks. 327-334 - Hoang N. Luong, Hai T. T. Nguyen, Chang Wook Ahn:
Entropy-based substructural local search for the bayesian optimization algorithm. 335-342 - Hai T. T. Nguyen, Hoang N. Luong, Chang Wook Ahn:
Entropy measurement-based estimation model for bayesian optimization algorithm. 343-350 - Peter A. N. Bosman:
The anticipated mean shift and cluster registration in mixture-based EDAs for multi-objective optimization. 351-358 - Rogelio Salinas-Gutiérrez, Arturo Hernández Aguirre, Enrique Raúl Villa Diharce:
D-vine EDA: a new estimation of distribution algorithm based on regular vines. 359-366
Estimation of distribution algorithms poster
- Amin Nikanjam, Hadi Sharifi, B. Hoda Helmi, Adel Torkaman Rahmani:
A new DSM clustering algorithm for linkage groups identification. 367-368
Evolution strategies and evolutionary programming papers
- Alexander Melkozerov, Hans-Georg Beyer:
On the analysis of self-adaptive evolution strategies on elliptic model: first results. 369-376 - Andreas M. Chwatal, Günther R. Raidl, Michael Zöch:
Fitting multi-planet transit models to photometric time-data series by evolution strategies. 377-384 - Dirk V. Arnold, Nikolaus Hansen:
Active covariance matrix adaptation for the (1+1)-CMA-ES. 385-392 - Tobias Glasmachers, Tom Schaul, Yi Sun, Daan Wierstra, Jürgen Schmidhuber:
Exponential natural evolution strategies. 393-400 - Mike Preuss, Günter Rudolph, Simon Wessing:
Tuning optimization algorithms for real-world problems by means of surrogate modeling. 401-408 - Wenyin Gong, Álvaro Fialho, Zhihua Cai:
Adaptive strategy selection in differential evolution. 409-416
Evolution strategies and evolutionary programming posters
- Haiping Ma, Dan Simon:
Biogeography-based optimization with blended migration for constrained optimization problems. 417-418 - Eloy Gonzales, Shingo Mabu, Karla Taboada, Kotaro Hirasawa, Kaoru Shimada:
Pruning association rules using statistics and genetic relation algoritm. 419-420 - Ofer M. Shir, Jonathan Roslund, Herschel Rabitz:
Forced optimal covariance adaptive learning: modified CMA-ES for efficient hessian determination. 421-422
Evolutionary multiobjective optimization papers
- Ruochen Liu, Wei Zhang, Licheng Jiao, Fang Liu, Jingjing Ma:
A sphere-dominance based preference immune-inspired algorithm for dynamic multi-objective optimization. 423-430 - Darrell F. Lochtefeld, Frank W. Ciarallo:
Deterministic helper-objective sequences applied to job-shop scheduling. 431-438 - Jacob Schrum, Risto Miikkulainen:
Evolving agent behavior in multiobjective domains using fitness-based shaping. 439-446 - Kalyanmoy Deb, Amit Saha:
Finding multiple solutions for multimodal optimization problems using a multi-objective evolutionary approach. 447-454 - Tamara Ulrich, Johannes Bader, Eckart Zitzler:
Integrating decision space diversity into hypervolume-based multiobjective search. 455-462 - Miqing Li, Jinhua Zheng, Ruimin Shen, Ke Li, Qizhao Yuan:
A grid-based fitness strategy for evolutionary many-objective optimization. 463-470 - Ilya Loshchilov, Marc Schoenauer, Michèle Sebag:
A mono surrogate for multiobjective optimization. 471-478 - Deepak Sharma, Pierre Collet:
An archived-based stochastic ranking evolutionary algorithm (asrea) for multi-objective optimization. 479-486 - Thomas Voß, Nikolaus Hansen, Christian Igel:
Improved step size adaptation for the MO-CMA-ES. 487-494 - Rudolf Berghammer, Tobias Friedrich, Frank Neumann:
Set-based multi-objective optimization, indicators, and deteriorative cycles. 495-502 - Oliver Kramer, Holger Danielsiek:
DBSCAN-based multi-objective niching to approximate equivalent pareto-subsets. 503-510 - Karl Bringmann, Tobias Friedrich:
The maximum hypervolume set yields near-optimal approximation. 511-518 - Hisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto, Yusuke Nojima:
Simultaneous use of different scalarizing functions in MOEA/D. 519-526 - Hisao Ishibuchi, Noritaka Tsukamoto, Yuji Sakane, Yusuke Nojima:
Indicator-based evolutionary algorithm with hypervolume approximation by achievement scalarizing functions. 527-534
Evolutionary multiobjective optimization posters
- Francesco Folino, Clara Pizzuti:
Multiobjective evolutionary community detection for dynamic networks. 535-536 - Saúl Zapotecas Martínez, Carlos A. Coello Coello:
A multi-objective meta-model assisted memetic algorithm with non gradient-based local search. 537-538 - D. Dumitrescu, Rodica Ioana Lung, Réka Nagy, Daniela Zaharie, Attila Bartha:
Exploring evolutionary detected fuzzy equilibria: a link between normative theory and real life. 539-540 - Anke K. Hutzschenreuter, Peter A. N. Bosman, Han La Poutré:
Enhanced hospital resource management using anticipatory policies in online dynamic multi-objective optimization. 541-542 - Michael D. Schmidt, Hod Lipson:
Age-fitness pareto optimization. 543-544 - Luis Martí, Jesús García, Antonio Berlanga, José M. Molina:
Moving away from error-based learning in multi-objective estimation of distribution algorithms. 545-546
Generative and developmental systems papers
- Phillip Verbancsics, Kenneth O. Stanley:
Transfer learning through indirect encoding. 547-554 - Keith L. Downing:
The baldwin effect in developing neural networks. 555-562 - Sebastian Risi, Joel Lehman, Kenneth O. Stanley:
Evolving the placement and density of neurons in the hyperneat substrate. 563-570 - Till Steiner, Yaochu Jin, Bernhard Sendhoff:
Evolving heterochrony for cellular differentiation using vector field embryogeny. 571-578 - Simon Harding, Julian F. Miller, Wolfgang Banzhaf:
Self modifying cartesian genetic programming: finding algorithms that calculate pi and e to arbitrary precision. 579-586 - Jean-Baptiste Mouret, Stéphane Doncieux, Benoît Girard:
Importing the computational neuroscience toolbox into neuro-evolution-application to basal ganglia. 587-594 - Martin Trefzer, Tüze Kuyucu, Julian F. Miller, Andy M. Tyrrell:
Image compression of natural images using artificial gene regulatory networks. 595-602 - David B. Knoester, Heather Goldsby, Philip K. McKinley:
Neuroevolution of mobile ad hoc networks. 603-610 - Hirotaka Moriguchi, Shinichi Honiden:
Sustaining behavioral diversity in NEAT. 611-618 - Jan Koutník, Faustino J. Gomez, Jürgen Schmidhuber:
Evolving neural networks in compressed weight space. 619-626 - Joshua Evan Auerbach, Josh C. Bongard:
Evolving CPPNs to grow three-dimensional physical structures. 627-634 - Jeff Clune, Benjamin E. Beckmann, Philip K. McKinley, Charles Ofria:
Investigating whether hyperNEAT produces modular neural networks. 635-642
Generative and developmental systems posters
- Josh C. Bongard:
Morphological scaffolding: how evolution and development improve robot behavior generation. 643-644 - Benjamin Inden, Yaochu Jin, Robert Haschke, Helge J. Ritter:
NEATfields: evolution of neural fields. 645-646 - Terence Soule, Robert B. Heckendorn:
A developmental algorithm for multi-agent swarms with scalable hierarchies. 647-648
Genetic algorithms papers
- Robert Collier, Mark Wineberg:
Approaches to multidimensional scaling for adaptive landscape visualization. 649-656 - Justin Benjamin, Bryant A. Julstrom:
Breaking ties with secondary fitness in a genetic algorithm for the bin packing problem. 657-664 - Martin Pelikan:
NK landscapes, problem difficulty, and hybrid evolutionary algorithms. 665-672 - Wenjin Chen, Kwok Yip Szeto:
Complex energy landscape mapping by histogram assisted genetic algorithm. 673-680 - Roi Yehoshua, Mireille Avigal, Ron Unger:
Analysis of the effects of lifetime learning on population fitness using vose model. 681-688 - Rupesh Tulshyan, Ramnik Arora, Kalyanmoy Deb, Joydeep Dutta:
Investigating EA solutions for approximate KKT conditions in smooth problems. 689-696 - Ta-Chun Lien, Tian-Li Yu, Ying-Shiuan You:
Co-evolution of cooperative strategies under egoism. 697-704 - Thomas Jansen, Christine Zarges:
Aging beyond restarts. 705-712 - Mark Hauschild, Martin Pelikan:
Network crossover performance on NK landscapes and deceptive problems. 713-720 - Fatemeh Vafaee, György Turán, Peter C. Nelson:
Optimizing genetic operator rates using a markov chain model of genetic algorithms. 721-728 - Yun Wen, Hua Xu, Jiadong Yang:
A heuristic-based hybrid genetic algorithm for heterogeneous multiprocessor scheduling. 729-736 - Prakarn Unachak, Erik D. Goodman:
Solving multiobjective flexible job-shop scheduling using an adaptive representation. 737-742 - Bernadete Maria de Mendonça Neta, Gustavo Henrique Diniz Araújo, Frederico Gadelha Guimarães, Renato Cardoso Mesquita:
A hybrid genetic algorithm for automatic graph drawing based on the topology-shape-metric approach. 743-750 - André da Motta Salles Barreto, Heder S. Bernardino, Helio J. C. Barbosa:
Probabilistic performance profiles for the experimental evaluation of stochastic algorithms. 751-758 - Benjamin Doerr, Daniel Johannsen:
Edge-based representation beats vertex-based representation in shortest path problems. 759-766