| Theory |
|
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On the Quality Gain of (1,λ)-ES Under Fitness Noise |
|
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1 | (10) |
|
Hans-Georg Beyer and Silja Meyer-Nieberg |
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Fitness Distributions and GA Hardness |
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11 | (10) |
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Yossi Borenstein and Riccardo Poli |
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Experimental Supplements to the Theoretical Analysis of EAs on Problems from Combinatorial Optimization |
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21 | (10) |
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Patrick Briest, Dimo Brockhoff, Bastian Degener, Matthias Englert, Christian Gunia, Oliver Heering, Thomas Jansen, Michael Leifhelm, Kai Plociennik, Heiko Röglin, Andrea Schweer, Dirk Sudholt, Stefan Tannenbaum, and Ingo Wegener |
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The Ising Model: Simple Evolutionary Algorithms as Adaptation Schemes |
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31 | (10) |
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Patrick Briest, Dimo Brockhoff, Bastian Degener, Matthias Englert, Christian Gunia, Oliver Heering, Thomas Jansen, Michael Leifhelm, Kai Plociennik, Heiko Röglin, Andrea Schweer, Dirk Sudholt, Stefan Tannenbaum, and Ingo Wegener |
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Evolutionary Algorithms with On-the-Fly Population Size Adjustment |
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41 | (10) |
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A.E. Eiben, Elena Marchiori, and V.A. Valkó |
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Search Space Features Underlying the Performance of Stochastic Local Search Algorithms for MAX-SAT |
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51 | (10) |
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Holger H. Hoos, Kevin Smyth, and Thomas Stützle |
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Bridging the Gap Between Theory and Practice |
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61 | (11) |
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Thomas Jansen and R. Paul Wiegand |
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A Reduced Markov Model of GAs Without the Exact Transition Matrix |
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72 | (9) |
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Cheah C.J. Moey and Jonathan E. Rowe |
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Expected Runtimes of a Simple Evolutionary Algorithm for the Multi-objective Minimum Spanning Tree Problem |
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81 | (10) |
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On the Importance of Information Speed in Structured Populations |
|
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91 | (10) |
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Mike Preuss and Christian Lasarczyk |
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Estimating the Number of Solutions for SAT Problems |
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101 | (10) |
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Colin R. Reeves and Mériéma Aupetit-Bélaidouni |
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Behavior of Evolutionary Algorithms in Chaotically Changing Fitness Landscapes |
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111 | (10) |
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Expected Rates of Building Block Discovery, Retention and Combination Under 1-Point and Uniform Crossover |
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121 | (10) |
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Cameron Skinner and Patricia Riddle |
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An Analysis of the Effectiveness of Multi-parent Crossover |
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131 | (10) |
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On the Use of a Non-redundant Encoding for Learning Bayesian Networks from Data with a GA |
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141 | (10) |
|
Steven van Dijk and Dirk Thierens |
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Phase Transition Properties of Clustered Travelling Salesman Problem Instances Generated with Evolutionary Computation |
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151 | (10) |
|
Jano I. van Hemert and Neil B. Urquhart |
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A Simple Two-Module Problem to Exemplify Building-Block Assembly Under Crossover |
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161 | (11) |
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Statistical Racing Techniques for Improved Empirical Evaluation of Evolutionary Algorithms |
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172 | (10) |
|
Bo Yuan and Marcus Gallagher |
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| New Algorithms |
|
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LS-CMA-ES: A Second-Order Algorithm for Covariance Matrix Adaptation |
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182 | (10) |
|
Anne Auger, Marc Schoenauer, and Nicolas Vanhaecke |
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Learning Probabilistic Tree Grammars for Genetic Programming |
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192 | (10) |
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Peter A.N. Bosman and Edwin D. de Jong |
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Sequential Sampling in Noisy Environments |
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202 | (10) |
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Jürgen Branke and Christian Schmidt |
|
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Evolutionary Continuous Optimization by Distribution Estimation with Variational Bayesian Independent Component Analyzers Mixture Model |
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212 | (10) |
|
Dong-Yeon Cho and Byoung-Tak Zhang |
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Spread of Vector Borne Diseases in a Population with Spatial Structure |
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222 | (10) |
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Dominique Chu and Jonathan Rowe |
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Hierarchical Genetic Algorithms |
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232 | (10) |
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Edwin D. de Jong, Dirk Thierens, and Richard A. Watson |
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Migration of Probability Models Instead of Individuals: An Alternative When Applying the Island Model to EDAs |
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242 | (11) |
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Luis delaOssa, José A. Gámez, and José M. Puerta |
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Comparison of Steady-State and Generational Evolution Strategies for Parallel Architectures |
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253 | (10) |
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Razvan Enache, Bernhard Sendhoff, Markus Olhofer, and Martina Hasenjäger |
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Control of Bloat in Genetic Programming by Means of the Island Model |
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263 | (9) |
|
Francisco Fernández de Vega, German Galeano Gil, Juan Antonio Gómez Pulido, and Jose Luis Guisado |
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Saving Resources with Plagues in Genetic Algorithms |
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272 | (10) |
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Francisco Fernández de Vega, Erik Cantú-Paz, J.I. López, and T. Manzano |
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Evaluating the CMA Evolution Strategy on Multimodal Test Functions |
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282 | (10) |
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Nikolaus Hansen and Stefan Kern |
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Exploring the Evolutionary Details of a Feasible-Infeasible Two-Population GA |
|
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292 | (10) |
|
Steven Orla Kimbrough, Ming Lu, and David Harlan Wood |
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An Evolutionary Algorithm for the Maximum Weight Trace Formulation of the Multiple Sequence Alignment Problem |
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302 | (10) |
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Gabriele Koller and Günther R. Raidl |
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A Novel Programmable Molecular Computing Method Based on Signaling Pathways Regulated by Rho-GTPases in Living MDCK Epithelial Mammalian Cells |
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312 | (10) |
|
Jian-Qin Liu and Katsunori Shimohara |
|
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Empirical Investigations on Parallelized Linkage Identification |
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322 | (10) |
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Masaharu Munetomo, Naoya Murao, and Kiyoshi Akama |
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The EAX Algorithm Considering Diversity Loss |
|
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332 | (10) |
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|
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Topology-Oriented Design of Analog Circuits Based on Evolutionary Graph Generation |
|
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342 | (10) |
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Masanori Natsui, Naofumi Homma, Takafumi Aoki, and Tatsuo Higuchi |
|
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A Mixed Bayesian Optimization Algorithm with Variance Adaptation |
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352 | (10) |
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Jiri Ocenasek, Stefan Kern, Nikolaus Hansen, and Petros Koumoutsakos |
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A Swarm Intelligence Based VLSI Multiplication-and-Add Scheme |
|
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362 | (10) |
|
Danilo Pani and Luigi Raffo |
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Distribution Tree-Building Real-Valued Evolutionary Algorithm |
|
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372 | (10) |
|
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Optimization via Parameter Mapping with Genetic Programming |
|
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382 | (9) |
|
Joao C.F. Pujol and Riccardo Poli |
|
|
|
Multi-cellular Development: Is There Scalability and Robustness to Gain? |
|
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391 | (10) |
|
Daniel Roggen and Diego Federici |
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|
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Constrained Evolutionary Optimization by Approximate Ranking and Surrogate Models |
|
|
401 | (10) |
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|
|
Robust Parallel Genetic Algorithms with Re-initialisation |
|
|
411 | (9) |
|
|
|
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Improving Evolutionary Algorithms with Multi-representation Island Models |
|
|
420 | (10) |
|
Zbigniew Skolicki and Kenneth De Jong |
|
|
|
A Powerful New Encoding for Tree-Based Combinatorial Optimisation Problems |
|
|
430 | (10) |
|
Sang-Moon Soak, David Corne, and Byung-Ha Ahn |
|
|
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Partially Evaluated Genetic Algorithm Based on Fuzzy c-Means Algorithm |
|
|
440 | (10) |
|
Si-Ho Yoo and Sung-Bae Cho |
|
|
| Applications |
|
|
Metaheuristics for the Vehicle Routing Problem with Stochastic Demands |
|
|
450 | (11) |
|
Leonora Bianchi, Mauro Birattari, Marco Chiarandini, Max Manfrin, Monaldo Mastrolilli, Luis Paquete, Olivia Rossi-Doria, and Tommaso Schiavinotto |
|
|
|
AntHocNet: An Ant-Based Hybrid Routing Algorithm for Mobile Ad Hoc Networks |
|
|
461 | (10) |
|
Gianni Di Caro, Frederick Ducatelle, and Luca Maria Gambardella |
|
|
|
A Scatter Search Algorithm for the 3D Image Registration Problem |
|
|
471 | (10) |
|
Oscar Cordón, Sergio Damas, and José Santamaria |
|
|
|
A Hybrid GRASP-Evolutionary Algorithm Approach to Golomb Ruler Search |
|
|
481 | (10) |
|
Carlos Cotta and Antonio J. Fernández |
|
|
|
Design of an Efficient Search Algorithm for P2P Networks Using Concepts from Natural Immune Systems |
|
|
491 | (10) |
|
Niloy Ganguly, Geoff Canright, and Andreas Deutsch |
|
|
|
A Novel Ant Algorithm for Solving the Minimum Broadcast Time Problem |
|
|
501 | (10) |
|
Yehudit Hasson and Moshe Sipper |
|
|
|
Designing Multiple-Use Primer Set for Multiplex PCR by Using Compact GAs |
|
|
511 | (11) |
|
Yu-Cheng Huang, Han-Yu Chuang, Huai-Kuang Tsai, Chun-Fan Chang, and Cheng- Yan Kao |
|
|
|
Robust Inferential Sensors Based on Ensemble of Predictors Generated by Genetic Programming |
|
|
522 | (10) |
|
Elsa Jordaan, Arthur Kordon, Leo Chiang, and Guido Smits |
|
|
|
Searching Transcriptional Modules Using Evolutionary Algorithms |
|
|
532 | (9) |
|
Je-Gun Joung, Sok June Oh, and Byoung-Tak Zhang |
|
|
|
Evolution of Voronoi-Based Fuzzy Controllers |
|
|
541 | (10) |
|
Carlos Kavka and Marc Schoenauer |
|
|
|
Analyzing Sensor States and Internal States in the Tartarus Problem with Tree State Machines |
|
|
551 | (10) |
|
|
|
|
Evolving Genetic Regulatory Networks for Hardware Fault Tolerance |
|
|
561 | (10) |
|
Arne Koopman and Daniel Roggen |
|
|
|
Evolving Dynamics in an Artificial Regulatory Network Model |
|
|
571 | (10) |
|
P. Dwight Kuo, André Leier, and Wolfgang Banzhaf |
|
|
|
The Application of Bayesian Optimization and Classifier Systems in Nurse Scheduling |
|
|
581 | (10) |
|
Jingpeng Li and Uwe Aickelin |
|
|
|
An Evolutionary Approach to Modeling Radial Brightness Distributions in Elliptical Galaxies |
|
|
591 | (11) |
|
Jin Li, Xin Yao, Colin Frayn, Habib G. Khosroshahi, and Somak Raychaudhury |
|
|
|
Conference Paper Assignment Using a Combined Greedy/Evolutionary Algorithm |
|
|
602 | (10) |
|
Juan Julián Merelo-Guervós and Pedro Castillo-Valdivieso |
|
|
|
A Primer on the Evolution of Equivalence Classes of Bayesian-Network Structures |
|
|
612 | (10) |
|
Jorge Muruzábal and Carlos Cotta |
|
|
|
The Infection Algorithm: An Artificial Epidemic Approach for Dense Stereo Matching |
|
|
622 | (11) |
|
Gustavo Olague, Francisco Fernández de Vega, Cynthia B. Pérez, and Evelyne Lutton |
|
|
|
Optimising Cancer Chemotherapy Using Particle Swarm Optimisation and Genetic Algorithms |
|
|
633 | (9) |
|
Andrei Petrovski, Bhavani Sudha, and John McCall |
|
|
|
An Evolutionary Algorithm for Column Generation in Integer Programming: An Effective Approach for 2D Bin Packing |
|
|
642 | (10) |
|
Jakob Puchinger and Günther R. Raidl |
|
|
|
An Improved Evaluation Function for the Bandwidth Minimization Problem |
|
|
652 | (10) |
|
Eduardo Rodriguez-Tello, Jin-Kao Hao, and Jose Torres-Jimenez |
|
|
|
Coupling of Evolution and Learning to Optimize a Hierarchical Object Recognition Model |
|
|
662 | (10) |
|
Georg Schneider, Heiko Wersing, Bernhard Sendhoff, and Edgar Körner |
|
|
|
Evolution of Small-World Networks of Automata for Computation |
|
|
672 | (10) |
|
Marco Tomassini, Mario Giacobini, and Christian Darabos |
|
|
|
Recognizing Speed Limit Sign Numbers by Evolvable Hardware |
|
|
682 | (10) |
|
Jim Torresen, Jorgen W. Bakke, and Lukas Sekanina |
|
|
|
Dynamic Routing Problems with Fruitful Regions: Models and Evolutionary Computation |
|
|
692 | (10) |
|
Jano I. van Hemert and J.A. La Poutré |
|
|
|
Optimising the Performance of a Formula One Car Using a Genetic Algorithm |
|
|
702 | (10) |
|
Krzysztof Wloch and Peter J. Bentley |
|
|
| Multi-objective Optimisation |
|
|
An Inexpensive Cognitive Approach for Bi-objective Optimization Using Bliss Points and Interaction |
|
|
712 | (10) |
|
|
|
|
Finding Knees in Multi-objective Optimization |
|
|
722 | (10) |
|
Jürgen Branke, Kalyanmoy Deb, Henning Dierolf, and Matthias Osswald |
|
|
|
Multi-objective Parallel Tabu Search |
|
|
732 | (10) |
|
Daniel Jaeggi, Chris Asselin-Miller, Geoff Parks, Timoleon Kipouros, Theo Bell, and John Clarkson |
|
|
|
SPEA2+: Improving the Performance of the Strength Pareto Evolutionary Algorithm 2 |
|
|
742 | (10) |
|
Mifa Kim, Tomoyuki Hiroyasu, Mitsunori Miki, and Shinya Watanabe |
|
|
|
An Extension of Generalized Differential Evolution fir Multi-objective Optimization with Constraints |
|
|
752 | (10) |
|
Saku Kukkonen and Jouni Lampinen |
|
|
|
Adaptive Weighted Particle Swarm Optimisation for Multi-objective Optimal Design of Alloy Steels |
|
|
762 | (10) |
|
Mahdi Mahfouf, Min-You Chen, and Derek Arthur Linkens |
|
|
|
Multi-objective Optimisation by Co-operative Co-evolution |
|
|
772 | (10) |
|
Kuntinee Maneeratana, Kittipong Boonlong, and Nachol Chaiyaratana |
|
|
|
Sequential Process Optimisation Using Genetic Algorithms |
|
|
782 | (10) |
|
Victor Oduguwa, Ashutosh Tiwari, and Rajkumar Roy |
|
|
|
On Test Functions for Evolutionary Multi-objective Optimization |
|
|
792 | (11) |
|
Tatsuya Okabe, Yaochu Jin, Markus Olhofer, and Bernhard Sendhoff |
|
|
|
Multi-objective Optimization of a Composite Material Spring Design Using an Evolutionary Algorithm |
|
|
803 | (9) |
|
Frédéric Ratle, Benoit Lecarpentier, Richard Labib, and François Trochu |
|
|
|
Dominance Based Crossover Operator for Evolutionary Multi-objective Algorithms |
|
|
812 | (10) |
|
Olga Rudenko and Marc Schoenauer |
|
|
|
Evolutionary Bi-objective Controlled Elevator Group Regulates Passenger Service Level and Minimises Energy Consumption |
|
|
822 | (10) |
|
Tapio Tyni and Jari Ylinen |
|
|
|
Indicator-Based Selection in Multiobjective Search |
|
|
832 | (11) |
|
Eckart Zitzler and Simon Künzli |
|
|
| Co-evolution |
|
|
Intransitivity in Coevolution |
|
|
843 | (9) |
|
|
|
|
Group Transport of an Object to a Target That Only Some Group Members May Sense |
|
|
852 | (10) |
|
Roderich Groß and Marco Dorigo |
|
|
|
Hawks, Doves and Lifetime Reproductive Success |
|
|
862 | (10) |
|
Philip Hingston and Luigi Barone |
|
|
|
Evolutionary Multi-agent Systems |
|
|
872 | (10) |
|
Pieter J. 't Hoen and Edwin D. de Jong |
|
|
|
Credit Assignment Among Neurons in Co-evolving Populations |
|
|
882 | (10) |
|
Vineet R. Khare, Xin Yao, and Bernhard Sendhoff |
|
|
|
A Visual Demonstration of Convergence Properties of Cooperative Coevolution |
|
|
892 | (10) |
|
Liviu Panait, R. Paul Wiegand, and Sean Luke |
|
|
|
Cooperative Coevolution of Image Feature Construction and Object Detection |
|
|
902 | (10) |
|
Mark E. Roberts and Ela Claridge |
|
|
|
Spatial Embedding and Loss of Gradient in Cooperative Coevolutionary Algorithms |
|
|
912 | (10) |
|
R. Paul Wiegand and Jayshree Sarma |
|
|
|
A High Performance Multi-objective Evolutionary Algorithm Based on the Principles of Thermodynamics |
|
|
922 | (10) |
|
Xiufen Zou, Minzhong Liu, Lishan Kang, and Jun He |
|
|
| Robotics and Multi-agent Systems |
|
|
Robustness in the Long Run: Auto-teaching vs Anticipation in Evolutionary Robotics |
|
|
932 | (10) |
|
Nicolas Godzik, Marc Schoenauer, and Michèle Sebag |
|
|
|
A Self-adaptive Neural Learning Classifier System with Constructivism for Mobile Robot Control |
|
|
942 | (10) |
|
Jacob Hurst and Larry Bull |
|
|
|
An Approach to Evolutionary Robotics Using a Genetic Algorithm with a Variable Mutation Rate Strategy |
|
|
952 | (10) |
|
Yoshiaki Katada, Kazuhiro Ohkura, and Kanji Ueda |
|
|
|
Translating the Dances of Honeybees into Resource Location |
|
|
962 | (10) |
|
|
|
|
Natural Policy Gradient Reinforcement Learning for a CPG Control of a Biped Robot |
|
|
972 | (10) |
|
Yutaka Nakamura, Takeshi Mori, and Shin Ishii |
|
|
|
Evaluation of Adaptive Nature Inspired Task Allocation Against Alternate Decentralised Multiagent Strategies |
|
|
982 | (9) |
|
Richard Price and Peter Tino |
|
|
|
A Neuroevolutionary Approach to Emergent Task Decomposition |
|
|
991 | (10) |
|
Jekanthan Thangavelautham and Gabriele M.T. D'Eleuterio |
|
|
|
Evolving the "Feeling" of Time Through Sensory-Motor Coordination: A Robot Based Model |
|
|
1001 | (10) |
|
Elio Tuci, Vito Trianni, and Marco Dorigo |
|
|
| Learning Classifier Systems and Data Mining |
|
|
An Artificial Immune System for Fuzzy-Rule Induction in Data Mining |
|
|
1011 | (10) |
|
Roberto T. Alves, Myriam R. Delgado, Heitor S. Lopes, and Alex A. Freitas |
|
|
|
Speeding-Up Pittsburgh Learning Classifier Systems: Modeling Time and Accuracy |
|
|
1021 | (11) |
|
Jaume Bacardit, David E. Goldberg, Martin V. Butz, Xavier Llorà, and Josep M. Garrell |
|
|
|
A Simple Payoff-Based Learning Classifier System |
|
|
1032 | (10) |
|
|
|
|
Lookahead and Latent Learning in a Simple Accuracy-Based Classifier System |
|
|
1042 | (9) |
|
|
|
|
Knowledge Extraction and Problem Structure Identification in XCS |
|
|
1051 | (10) |
|
Martin V. Butz, Pier Luca Lanzi, Xavier Llorà, and David E. Goldberg |
|
|
|
Forecasting Time Series by Means of Evolutionary Algorithms |
|
|
1061 | (10) |
|
Cristóbal Luque del Arco-Calderón, Pedro Isasi Viñuela, and Julio César Hernández Castro |
|
|
|
Detecting and Pruning Introns for Faster Decision Tree Evolution |
|
|
1071 | (10) |
|
Jeroen Eggermont, Joost N. Kok, and Walter A. Kosters |
|
|
|
Evolutionary Multiobjective Clustering |
|
|
1081 | (11) |
|
Julia Handl and Joshua Knowles |
|
|
|
Web Page Classification with an Ant Colony Algorithm |
|
|
1092 | (11) |
|
Nicholas Holden and Alex A. Freitas |
|
|
|
Oneiric Processing Utilising the Anticipatory Classifier System |
|
|
1103 | (10) |
|
Julian C. Holley, Anthony G. Pipe, and Brian Carse |
|
|
|
Self-organizing Neural Grove: Efficient Multiple Classifier System Using Pruned Self-generating Neural Trees |
|
|
1113 | (10) |
|
Hirotaka Inoue and Hiroyuki Narihisa |
|
|
|
Evolutionary Multiobjective Knowledge Extraction for High-Dimensional Pattern Classification Problems |
|
|
1123 | (10) |
|
Hisao Ishibuchi and Satoshi Namba |
|
|
|
Ensemble Learning with Evolutionary Computation: Application to Feature Ranking |
|
|
1133 | (10) |
|
Kees Jong, Elena Marchiori, and Michèle Sebag |
|
|
|
Fast Unsupervised Clustering with Artificial Ants |
|
|
1143 | (10) |
|
Nicolas Labroche, Christiane Guinot, and Gilles Venturini |
|
|
|
A Novel Method of Searching the Microarray Data for the Best Gene Subsets by Using a Genetic Algorithm |
|
|
1153 | (10) |
|
|
|
|
Using Genetic Programming for Feature Creation with a Genetic Algorithm Feature Selector |
|
|
1163 | (9) |
|
Matthew G. Smith and Larry Bull |
|
|
|
AgentP Model: Learning Classifier System with Associative Perception |
|
|
1172 | (11) |
|
|
|
| Author Index |
|
1183 | |
Other versions by this Author