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ORCIDCEC 2009: Trondheim, Norway
- Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2009, Trondheim, Norway, 18-21 May, 2009. IEEE 2009, ISBN 978-1-4244-2958-5
Evolutionary Multiobjective Optimization I
- Lang Fan, Christine L. Mumford
, Dafydd Evans:
A simple multi-objective optimization algorithm for the urban transit routing problem. 1-7 - A. K. M. Khaled Ahsan Talukder, Michael Kirley, Rajkumar Buyya:
The Pareto-Following Variation Operator as an alternative approximation model. 8-15 - Adriana Lara, Carlos A. Coello Coello, Oliver Schütze:
Using gradient-based information to deal with scalability in multi-objective evolutionary algorithms. 16-23 - Sameh S. Askar, Ashutosh Tiwari:
Finding exact solutions for multi-objective optimisation problems using a symbolic algorithm. 24-30
Evolutionary Robotics I
- Elio Tuci, Gianluca Massera, Stefano Nolfi:
Active categorical perception in an evolved anthropomorphic robotic arm. 31-38 - Joshua Evan Auerbach, Josh C. Bongard:
How robot morphology and training order affect the learning of multiple behaviors. 39-46 - Renan Cipriano Moioli, Patrícia Amâncio Vargas, Phil Husbands:
A multiple hormone approach to the homeostatic control of conflicting behaviours in an autonomous mobile robot. 47-54 - Sabine Hauert, Jean-Christophe Zufferey, Dario Floreano:
Reverse-engineering of artificially evolved controllers for swarms of robots. 55-61
Agent Based Memetic Algorithms
- Jing Liu, Weicai Zhong, Licheng Jiao:
Macro-Agent Evolutionary Model for decomposable function optimization. 62-69 - Abu Saleh Shah Muhammad Barkat Ullah, Ruhul A. Sarker, Chris Lokan:
An Agent-based Memetic Algorithm (AMA) for nonlinear optimization with equality constraints. 70-77 - Aleksander Byrski, Robert Schaefer:
Formal model for agent-based asynchronous evolutionary computation. 78-85 - Dmitry M. Pisarevsky, Pini Gurfil:
A memetic algorithm for optimizing high-inclination multiple gravity-assist orbits. 86-93
Differential Evolution I
- Ville Tirronen, Ferrante Neri, Tuomo Rossi:
Enhancing Differential Evolution frameworks by scale factor local search - Part I. 94-101 - Zhenyu Yang, Jingqiao Zhang, Ke Tang, Xin Yao, Arthur C. Sanderson:
An adaptive coevolutionary Differential Evolution algorithm for large-scale optimization. 102-109 - Mahamed G. H. Omran, Andries P. Engelbrecht:
Free Search Differential Evolution. 110-117 - Ferrante Neri, Ville Tirronen, Tommi Kärkkäinen:
Enhancing Differential Evolution frameworks by scale factor local search - part II. 118-125
PERPLEXUS: Pervasive reconfigurable platform for modelling complex systems
- Juan Manuel Moreno, Jordi Madrenas:
A reconfigurable architecture for emulating large-scale bio-inspired systems. 126-133 - Héctor F. Satizábal, Andres Upegui:
Dynamic partial reconfiguration of the Ubichip for implementing adaptive size incremental topologies. 134-141 - Michael Hauptvogel, Jordi Madrenas, Juan Manuel Moreno:
SpiNDeK: An Integrated design tool for the multiprocessor emulation of complex bioinspired spiking neural networks. 142-149 - Jaime Alberto Parra Plaza, Andres Upegui, Jaime Velasco-Medina:
Cytocomputation in a biologically inspired, dynamically reconfigurable hardware platform. 150-157
Applied Simulations I
- Uday K. Chakraborty:
Minimizing total flow time in permutation flow shop scheduling with improved simulated annealing. 158-165 - Elena Bautu, Sun Kim, Andrei Bautu, Henri Luchian, Byoung-Tak Zhang:
Evolving hypernetwork models of binary time series for forecasting price movements on stock markets. 166-173 - Igor Vatolkin, Wolfgang M. Theimer, Günter Rudolph:
Design and comparison of different evolution strategies for feature selection and consolidation in music classification. 174-181 - Gina M. B. Oliveira, Stefano S. B. V. Vita:
A multi-objective evolutionary algorithm with epsilon-dominance to calculate multicast routes with QoS requirements. 182-189
Performance Assessment of Constrained/Bound constrained multi-objective optimization algorithms I
- Vicky Ling Huang, Shuguang Z. Zhao, Rammohan Mallipeddi, Ponnuthurai N. Suganthan:
Multi-objective optimization using self-adaptive differential evolution algorithm. 190-194 - Ales Zamuda, Janez Brest, Borko Boskovic, Viljem Zumer:
Differential Evolution with Self-adaptation and Local Search for Constrained Multiobjective Optimization. 195-202 - Qingfu Zhang, Wudong Liu, Hui Li:
The performance of a new version of MOEA/D on CEC09 unconstrained MOP test instances. 203-208 - Chih-Ming Chen, Ying-Ping Chen, Qingfu Zhang:
Enhancing MOEA/D with guided mutation and priority update for multi-objective optimization. 209-216
Concurrent Approaches to Collaboration in EC
- Fiona A. C. Polack, Paul S. Andrews, Adam T. Sampson:
The engineering of concurrent simulations of complex systems. 217-224 - Adam T. Sampson, John Markus Bjørndalen, Paul S. Andrews:
Birds on the wall: Distributing a process-oriented simulation. 225-231 - Eric Bonnici, Peter H. Welch:
Mobile processes, mobile channels and complex dynamic systems. 232-239 - Anca Gog, Camelia Chira, D. Dumitrescu:
Asynchronous evolutionary search: Multi-population collaboration and complex dynamics. 240-246
Evolutionary Computation in Bioinformatics and Computational Biology I
- Dragos Horvath, Lorraine Brillet, S. Roy, Sébastien Conilleau, Alexandru-Adrian Tantar, Jean-Charles Boisson, Nouredine Melab, El-Ghazali Talbi:
Local vs. global search strategies in evolutionary GRID-based conformational sampling & docking. 247-254 - Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay:
Unsupervised cancer classification through SVM-boosted multiobjective fuzzy clustering with majority voting ensemble. 255-261 - David Hecht, Mars Cheung, Gary B. Fogel:
Docking scores and QSAR using evolved neural networks for the Pan-inhibition of wild-type and mutant PfDHFR by cycloguanil derivatives. 262-269 - Kay C. Wiese, Andrew Hendriks:
RNA pseudoknot prediction via an evolutionary algorithm. 270-276 - Dianhui Wang, Xi Li:
GAPK: Genetic algorithms with prior knowledge for motif discovery in DNA sequences. 277-284
Development & Biological Networks I
- Simon Harding, Julian Francis Miller, Wolfgang Banzhaf:
Self modifying Cartesian Genetic Programming: Parity. 285-292 - Pauline C. Haddow, Johan Hoye:
Investigating the effect of regulatory decisions in a development model. 293-300 - Martin Trefzer, Tüze Kuyucu, Julian Francis Miller, Andy M. Tyrrell:
A model for intrinsic artificial development featuring structural feedback and emergent growth. 301-308 - Benhui Chen, Long Li, Jinglu Hu:
A novel EDAs based method for HP model protein folding. 309-315 - Taras Kowaliw, Wolfgang Banzhaf:
Augmenting artificial development with local fitness. 316-323
Evolutionary Computation in Space and Air I
- Nicolas Croisard, Massimiliano Vasile:
System engineering design optimisation under uncertainty for preliminary space mission. 324-331 - Boris Naujoks, Heike Trautmann:
Online convergence detection for multiobjective aerodynamic applications. 332-339 - Matthew P. Ferringer, David B. Spencer, Patrick M. Reed:
Many-objective reconfiguration of operational satellite constellations with the Large-Cluster Epsilon Non-dominated Sorting Genetic Algorithm-II. 340-349 - Edmondo A. Minisci, Giulio Avanzini:
Orbit transfer manoeuvres as a test benchmark for comparison metrics of evolutionary algorithms. 350-357 - Andreas Ohndorf, Bernd Dachwald, Eberhard K. A. Gill:
Optimization of low-thrust Earth-Moon transfers using evolutionary neurocontrol. 358-364
Parameter Setting in Evolutionary Algorithms
- Jorge Maturana, Álvaro Fialho, Frédéric Saubion, Marc Schoenauer, Michèle Sebag:
Extreme compass and Dynamic Multi-Armed Bandits for Adaptive Operator Selection. 365-372 - Rafi Shalom, Mireille Avigal, Ron Unger:
A conflict based SAW method for Constraint Satisfaction Problems. 373-380 - Changhe Li, Shengxiang Yang:
An adaptive learning particle swarm optimizer for function optimization. 381-388 - Nelis Franken:
Visual exploration of algorithm parameter space. 389-398 - Selmar K. Smit, A. E. Eiben:
Comparing parameter tuning methods for evolutionary algorithms. 399-406
EC in Dynamic and Uncertain Environments I
- Peter Korosec, Jurij Silc:
The Differential Ant-Stigmergy Algorithm applied to dynamic optimization problems. 407-414 - Janez Brest, Ales Zamuda, Borko Boskovic, Mirjam Sepesy Maucec, Viljem Zumer:
Dynamic optimization using Self-Adaptive Differential Evolution. 415-422 - Fabrício Olivetti de França, Fernando J. Von Zuben:
A dynamic artificial immune algorithm applied to challenging benchmarking problems. 423-430 - Ling Yu, Ponnuthurai N. Suganthan:
Evolutionary programming with ensemble of explicit memories for dynamic optimization. 431-438 - Changhe Li, Shengxiang Yang:
A clustering particle swarm optimizer for dynamic optimization. 439-446
Evolutionary Algorithms based on Probabilistic Models I
- Alexander E. I. Brownlee, John A. W. McCall, Siddhartha Shakya, Qingfu Zhang:
Structure learning and optimisation in a Markov-network based estimation of distribution algorithm. 447-454 - Luis de la Ossa, José A. Gámez, Juan L. Mateo, José Miguel Puerta:
Avoiding premature convergence in estimation of distribution algorithms. 455-462 - Dongdong Yang, Licheng Jiao, Maoguo Gong, Hongxiao Feng:
Hybrid multiobjective estimation of distribution algorithm by local linear embedding and an immune inspired algorithm. 463-470 - Shih-Hsin Chen, Pei-Chann Chang, Qingfu Zhang:
A self-guided genetic algorithm for flowshop scheduling problems. 471-478 - Siddhartha Shakya, Alexander E. I. Brownlee, John A. W. McCall, François A. Fournier, Gilbert Owusu:
A fully multivariate DEUM algorithm. 479-486
Evolutionary games on complex networks
- Jun Tanimoto:
The effect of assortative mixing on emerging cooperation in an evolutionary network game. 487-493 - Reiji Suzuki, Takaya Arita:
Evolution of cooperation on different pairs of interaction and replacement networks with various intensity of selection. 494-499 - Sven Van Segbroeck, Francisco C. Santos, Ann Nowé, Jorge M. Pacheco, Tom Lenaerts:
The coevolution of loyalty and cooperation. 500-505 - Jorge Peña, Enea Pestelacci, Marco Tomassini, Henri Volken:
Conformity and network effects in the Prisoner's Dilemma. 506-513 - Akira Namatame, Hiroshi Sato:
Symmetric networks foster to evolve desirable turn-taking rules in dispersion games. 514-521
Evolutionary Multiobjective Optimization II
- Kazuyuki Sugimura, Shinkyu Jeong, Shigeru Obayashi, Takeshi Kimura:
Kriging-model-based multi-objective robust optimization and trade-off-rule mining using association rule with aspiration vector. 522-529 - Hisao Ishibuchi, Noritaka Tsukamoto, Yuji Sakane, Yusuke Nojima:
Hypervolume approximation using achievement scalarizing functions for evolutionary many-objective optimization. 530-537 - Lucas Bradstreet, Luigi Barone, Lyndon While:
Updating exclusive hypervolume contributions cheaply. 538-544 - Dhish Kumar Saxena, Tapabrata Ray, Kalyanmoy Deb, Ashutosh Tiwari:
Constrained many-objective optimization: A way forward. 545-552
BioComputing & Complex Adaptive Systems I
- Krzysztof Juszczyszyn, Anna Musial, Katarzyna Musial, Piotr Bródka:
Molecular dynamics modelling of the temporal changes in complex networks. 553-559 - Sylvain Koos, Jean-Baptiste Mouret, Stéphane Doncieux:
Automatic system identification based on coevolution of models and tests. 560-567 - Jonathan Byrne, Michael O'Neill, Erik Hemberg, Anthony Brabazon:
Analysis of constant creation techniques on the binomial-3 problem with grammatical evolution. 568-573 - Gul Muhammad Khan, Julian Francis Miller, David M. Halliday:
In search of intelligent genes: The cartesian genetic programming computational neuron (CGPCN). 574-581
System Design I
- Zai Wang, Tianshi Chen, Ke Tang, Xin Yao:
A multi-objective approach to Redundancy Allocation Problem in parallel-series systems. 582-589 - Shuguang Zhao, Ponnuthurai N. Suganthan:
Diversity enhanced particle swarm optimizer for global optimization of multimodal problems. 590-597 - Vinh Bui, Lam Thu Bui, Hussein A. Abbass, Axel Bender, Pradeep Ray:
On the role of information networks in logistics: An evolutionary approach with military scenarios. 598-605 - Mario Gongora, Benjamin N. Passow, Adrian A. Hopgood:
Robustness analysis of evolutionary controller tuning using real systems. 606-613
Differential Evolution II
- Mingming Zhang, Shuguang Zhao, Xu Wang:
Multi-objective evolutionary algorithm based on adaptive discrete Differential Evolution. 614-621 - Bo Liu, Francisco V. Fernández, Georges G. E. Gielen:
Fuzzy selection based differential evolution algorithm for analog cell sizing capturing imprecise human intentions. 622-629 - Yu Wang, Bin Li:
Investigation of memory-based multi-objective optimization evolutionary algorithm in dynamic environment. 630-637
Computational Intelligence in Games I
- Shiven Sharma, Ziad Kobti, Scott D. Goodwin:
Coevolving intelligent game players in a cultural framework. 638-645 - S. Ying Lin, Jonathon David White:
Spatial processing layer effects on the evolution of neural networks to play the game of Othello. 646-651 - Niels van Hoorn, Julian Togelius, Daan Wierstra, Jürgen Schmidhuber:
Robust player imitation using multiobjective evolution. 652-659 - Ryan K. Small, Clare Bates Congdon:
Agent Smith: Towards an evolutionary rule-based agent for interactive dynamic games. 660-666
EC in Dynamic and Uncertain Environments II
- Anna S. Rakitianskaia, Andries P. Engelbrecht:
Training neural networks with PSO in dynamic environments. 667-673 - Marius Riekert, Katherine M. Malan, Andries P. Engelbrecht:
Adaptive Genetic Programming for dynamic classification problems. 674-681 - Shengxiang Yang, Hendrik Richter:
Hyper-learning for population-based incremental learning in dynamic environments. 682-689 - Trung Thanh Nguyen, Xin Yao:
Benchmarking and solving dynamic constrained problems. 690-697
Particle Swarm I
- Marco Antonio Montes de Oca, Jorge Peña, Thomas Stützle, Carlo Pinciroli, Marco Dorigo:
Heterogeneous particle swarm optimizers. 698-705 - Mohammed El-Abd, Hassan Hassan, Mohamed S. Kamel:
Discrete and continuous particle swarm optimization for FPGA placement. 706-711 - Andrew W. McNabb, Matthew Gardner, Kevin D. Seppi:
An exploration of topologies and communication in large particle swarms. 712-719 - Alan Godoy, Fernando J. Von Zuben:
A Complex Neighborhood based Particle Swarm Optimization. 720-727
Hybrid Evolutionary Algorithms in Forecasting Models
- Wei-Mou Hung, Wei-Chiang Hong, Tung-Bo Chen:
Application of hybrid genetic algorithm and simulated annealing in a SVR traffic flow forecasting model. 728-735 - Qu Li, Min Yao, Weihong Wang, Xiaohong Cheng:
Dynamic Split-point Selection Method for decision tree evolved by Gene Expression Programming. 736-740 - Juan Peralta, Germán Gutiérrez, Araceli Sanchis:
Shuffle design to improve time series forecasting accuracy. 741-748
Posters
- Lam Thu Bui, Slawomir Wesolkowski, Axel Bender, Hussein A. Abbass, Michael Barlow:
A dominance-based stability measure for multi-objective evolutionary algorithms. 749-756 - Daniel Villatoro, Jordi Sabater-Mir:
Dynamics in the normative group recognition process. 757-764 - Jing Liu, Wenrong Jiang, Weicai Zhong, Licheng Jiao:
OEA_SAT: An Organizational Evolutionary Algorithm for solving SATisfiability problems. 765-770 - Hamed Shakouri G., Kambiz Shojaee, Mojtaba Behnam T.:
The Wise Experiencing Traveling Salesman (WETS): Introduction to a simple evolutionary solution for the problem. 771-776 - Shinkyu Jeong, Shoichi Hasegawa, Koji Shimoyama, Shigeru Obayashi:
Development and investigation of efficient GA/PSO-hybrid algorithm applicable to real-world design optimization. 777-784 - Sambarta Dasgupta, Arijit Biswas, Swagatam Das, Bijaya K. Panigrahi, Ajith Abraham:
A micro-bacterial foraging algorithm for high-dimensional optimization. 785-792 - Andreas Herzog, Sebastian Handrich, Christoph S. Herrmann:
Multi-objective parameter estimation of biologically plausible neural networks in different behavior stages. 793-799 - Casey S. Greene, Jeff Kiralis, Jason H. Moore:
Nature-inspired algorithms for the genetic analysis of epistasis in common human diseases: Theoretical assessment of wrapper vs. filter approaches. 800-807 - Dominique F. Chu, David J. Barnes:
Group selection vs multi-level selection: Some example models using evolutionary games. 808-814 - Zhiwei Lin, Yu Huang, Hui Wang, Sally I. McClean:
Neighborhood counting for financial time series forecasting. 815-821 - Timo Mantere:
Image ordering by cellular genetic algorithms with TSP and ICA. 822-829 - Daniel Molina, Manuel Lozano, Francisco Herrera:
Memetic algorithm with Local search chaining for large scale continuous optimization problems. 830-837 - Kengo Takano, Masafumi Hagiwara:
An integrated framework of hybrid evolutionary computations. 838-845 - Sousuke Tooyama, Hiroshi Hasegawa:
Adaptive Plan system with Genetic Algorithm using the Variable Neighborhood range Control. 846-853 - Fengming Ye, S. Mahn, Lutao Wang, Shinji Eto, Kotaro Hirasawa:
Genetic Network Programming with Reconstructed Individuals. 854-859 - Shiu Yin Yuen, Shing Wa Leung:
Genetic programming that ensures programs are original. 860-866 - Leonardo Goliatt da Fonseca, Helio J. C. Barbosa, Afonso C. C. Lemonge:
A similarity-based surrogate model for expensive evolutionary optimization with fixed budget of simulations. 867-874 - Wei-neng Chen, Yuan Shi, Jun Zhang:
An ant colony optimization algorithm for the time-varying workflow scheduling problem in grids. 875-880 - Tomislav Rolich, Darko Grundler:
Minimizing environmental electromagnetic field pollution adjusting transmitter parameters using genetic algorithm. 881-887