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ORCID11th PPSN 2010: Kraków, Poland
- Robert Schaefer, Carlos Cotta
, Joanna Kolodziej, Günter Rudolph:
Parallel Problem Solving from Nature - PPSN XI, 11th International Conference, Kraków, Poland, September 11-15, 2010, Proceedings, Part I. Lecture Notes in Computer Science 6238, Springer 2010, ISBN 978-3-642-15843-8
Theory of Evolutionary Computing (I)
- Süntje Böttcher, Benjamin Doerr, Frank Neumann:
Optimal Fixed and Adaptive Mutation Rates for the LeadingOnes Problem. 1-10 - Dimo Brockhoff, Anne Auger, Nikolaus Hansen, Dirk V. Arnold, Tim Hohm:
Mirrored Sampling and Sequential Selection for Evolution Strategies. 11-21 - David W. Corne, Alan P. Reynolds:
Optimisation and Generalisation: Footprints in Instance Space. 22-31 - Benjamin Doerr, Leslie Ann Goldberg:
Adaptive Drift Analysis. 32-41 - Benjamin Doerr, Thomas Jansen, Dirk Sudholt, Carola Winzen, Christine Zarges:
Optimizing Monotone Functions Can Be Difficult. 42-51 - Mohamed Jebalia, Anne Auger:
Log-Linear Convergence of the Scale-Invariant (µ/µw, lambda)-ES and Optimal µ for Intermediate Recombination for Large Population Sizes. 52-62 - Johannes W. Kruisselbrink, Michael Emmerich, André H. Deutz, Thomas Bäck:
Exploiting Overlap When Searching for Robust Optima. 63-72 - Olaf Mersmann, Mike Preuss, Heike Trautmann:
Benchmarking Evolutionary Algorithms: Towards Exploratory Landscape Analysis. 73-82 - Alberto Moraglio:
One-Point Geometric Crossover. 83-93 - Rachael Morgan, Marcus Gallagher:
When Does Dependency Modelling Help? Using a Randomized Landscape Generator to Compare Algorithms in Terms of Problem Structure. 94-103 - Gabriela Ochoa, Sébastien Vérel, Marco Tomassini:
First-Improvement vs. Best-Improvement Local Optima Networks of NK Landscapes. 104-113 - Karol R. Opara, Jaroslaw Arabas:
Differential Mutation Based on Population Covariance Matrix. 114-123 - Dirk Sudholt:
General Lower Bounds for the Running Time of Evolutionary Algorithms. 124-133 - Karsten Weicker:
A Binary Encoding Supporting Both Mutation and Recombination. 134-143 - Yang Yu, Chao Qian, Zhi-Hua Zhou:
Towards Analyzing Recombination Operators in Evolutionary Search. 144-153
Theory of Evolutionary Computing (II)
- Youhei Akimoto, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi:
Bidirectional Relation between CMA Evolution Strategies and Natural Evolution Strategies. 154-163 - James McDermott, Edgar Galván López, Michael O'Neill:
A Fine-Grained View of GP Locality with Binary Decision Diagrams as Ant Phenotypes. 164-173 - Benjamin Doerr, Leslie Ann Goldberg:
Drift Analysis with Tail Bounds. 174-183 - Benjamin Doerr, Daniel Johannsen, Timo Kötzing, Frank Neumann, Madeleine Theile:
More Effective Crossover Operators for the All-Pairs Shortest Path Problem. 184-193 - Álvaro Fialho, Raymond Ros, Marc Schoenauer, Michèle Sebag:
Comparison-Based Adaptive Strategy Selection with Bandits in Differential Evolution. 194-203 - Stefan Kratsch, Per Kristian Lehre, Frank Neumann, Pietro Simone Oliveto:
Fixed Parameter Evolutionary Algorithms and Maximum Leaf Spanning Trees: A Matter of Mutation. 204-213 - Johannes W. Kruisselbrink, Michael Emmerich, Thomas Bäck:
An Archive Maintenance Scheme for Finding Robust Solutions. 214-223 - Jörg Lässig, Dirk Sudholt:
Experimental Supplements to the Theoretical Analysis of Migration in the Island Model. 224-233 - Jörg Lässig, Dirk Sudholt:
General Scheme for Analyzing Running Times of Parallel Evolutionary Algorithms. 234-243 - Per Kristian Lehre:
Negative Drift in Populations. 244-253 - Fabien Teytaud, Olivier Teytaud:
Log(lambda) Modifications for Optimal Parallelism. 254-263 - Dirk Thierens:
The Linkage Tree Genetic Algorithm. 264-273 - Renato Tinós, Shengxiang Yang:
An Analysis of the XOR Dynamic Problem Generator Based on the Dynamical System. 274-283 - James M. Whitacre, Philipp Rohlfshagen, Axel Bender, Xin Yao:
The Role of Degenerate Robustness in the Evolvability of Multi-agent Systems in Dynamic Environments. 284-293
Machine Learning, Classi?er Systems, Image Processing
- Alexandros Agapitos, Michael O'Neill, Anthony Brabazon:
Evolutionary Learning of Technical Trading Rules without Data-Mining Bias. 294-303 - Faraz Ahmed, Farrukh Shahzad, Muddassar Farooq:
Using Computational Intelligence to Identify Performance Bottlenecks in a Computer System. 304-313 - Bernd Bischl, Igor Vatolkin, Mike Preuss:
Selecting Small Audio Feature Sets in Music Classification by Means of Asymmetric Mutation. 314-323 - Marcin Czajkowski, Marek Kretowski:
Globally Induced Model Trees: An Evolutionary Approach. 324-333 - Pierre Delarboulas, Marc Schoenauer, Michèle Sebag:
Open-Ended Evolutionary Robotics: An Information Theoretic Approach. 334-343 - Mauro Dragoni, Antonia Azzini, Andrea Tettamanzi:
A Novel Similarity-Based Crossover for Artificial Neural Network Evolution. 344-353 - Jason Gauci, Kenneth O. Stanley:
Indirect Encoding of Neural Networks for Scalable Go. 354-363 - Ilya Loshchilov, Marc Schoenauer, Michèle Sebag:
Comparison-Based Optimizers Need Comparison-Based Surrogates. 364-373 - Mitchell A. Potter, Christine Couldrey:
A Cooperative Coevolutionary Approach to Partitional Clustering. 374-383 - Alan P. Reynolds, David W. Corne, Michael J. Chantler:
Feature Selection for Multi-purpose Predictive Models: A Many-Objective Task. 384-393 - Stephen D. Turner, Scott M. Dudek, Marylyn D. Ritchie:
Incorporating Domain Knowledge into Evolutionary Computing for Discovering Gene-Gene Interaction. 394-403 - Ryan J. Urbanowicz, Jason H. Moore:
The Application of Pittsburgh-Style Learning Classifier Systems to Address Genetic Heterogeneity and Epistasis in Association Studies. 404-413 - Franck Patrick Vidal, Evelyne Lutton, Jean Louchet, Jean-Marie Rocchisani:
Threshold Selection, Mitosis and Dual Mutation in Cooperative Co-evolution: Application to Medical 3D Tomography. 414-423 - Yanghui Wu, John A. W. McCall, David Corne:
Comparative Analysis of Search and Score Metaheuristics for Bayesian Network Structure Learning Using Node Juxtaposition Distributions. 424-433 - Laleh Zangeneh, Peter J. Bentley:
Analyzing the Credit Default Swap Market Using Cartesian Genetic Programming. 434-444
Memetic Algorithms, Hybridized Techniques, Meta and Hyperheurisics
- Jhon Edgar Amaya, Carlos Cotta, Antonio José Fernández Leiva:
A Memetic Cooperative Optimization Schema and Its Application to the Tool Switching Problem. 445-454 - Juan C. Burguillo-Rial, Ana Peleteiro-Ramallo:
Ownership and Trade in Spatial Evolutionary Memetic Games. 455-464 - Edmund K. Burke, Qiang Guo, Graham Kendall:
A Hyper-Heuristic Approach to Strip Packing Problems. 465-474 - Aleksander Byrski, Robert Schaefer, Maciej Smolka, Carlos Cotta:
Asymptotic Analysis of Computational Multi-Agent Systems. 475-484 - Madalina M. Drugan, Dirk Thierens:
Path-Guided Mutation for Stochastic Pareto Local Search Algorithms. 485-495 - Jonathon Gibbs, Graham Kendall, Ender Özcan:
Scheduling English Football Fixtures over the Holiday Period Using Hyper-heuristics. 496-505 - David Iclanzan, Dumitru Dumitrescu:
Graph Clustering Based Model Building. 506-515 - Hisao Ishibuchi, Yasuhiro Hitotsuyanagi, Yoshihiko Wakamatsu, Yusuke Nojima:
How to Choose Solutions for Local Search in Multiobjective Combinatorial Memetic Algorithms. 516-525 - Joanna Kolodziej, Fatos Xhafa, Marcin Bogdanski:
Secure and Task Abortion Aware GA-Based Hybrid Metaheuristics for Grid Scheduling. 526-535 - Yuichi Nagata, Shigenobu Kobayashi:
A Memetic Algorithm for the Pickup and Delivery Problem with Time Windows Using Selective Route Exchange Crossover. 536-545 - Zhilei Ren, He Jiang, Jifeng Xuan, Zhongxuan Luo:
Ant Based Hyper Heuristics with Space Reduction: A Case Study of the p-Median Problem. 546-555 - Yang Wang, Zhipeng Lü, Jin-Kao Hao:
A Study of Multi-parent Crossover Operators in a Memetic Algorithm. 556-565 - L. Darrell Whitley, Doug Hains, Adele E. Howe:
A Hybrid Genetic Algorithm for the Traveling Salesman Problem Using Generalized Partition Crossover. 566-575 - Saúl Zapotecas Martínez, Carlos A. Coello Coello:
A Memetic Algorithm with Non Gradient-Based Local Search Assisted by a Meta-model. 576-585
Multiobjective Optimization, Theoretical Aspects
- Anne Auger, Johannes Bader, Dimo Brockhoff:
Theoretically Investigating Optimal µ-Distributions for the Hypervolume Indicator: First Results for Three Objectives. 586-596 - Nicola Beume, Marco Laumanns, Günter Rudolph:
Convergence Rates of (1+1) Evolutionary Multiobjective Optimization Algorithms. 597-606 - Karl Bringmann, Tobias Friedrich:
Tight Bounds for the Approximation Ratio of the Hypervolume Indicator. 607-616 - Ewa Gajda, Robert Schaefer, Maciej Smolka:
Evolutionary Multiobjective Optimization Algorithm as a Markov System. 617-626 - Tobias Glasmachers, Tom Schaul, Jürgen Schmidhuber:
A Natural Evolution Strategy for Multi-objective Optimization. 627-636 - He Jiang, Shuyan Zhang, Zhilei Ren:
Solving Multiobjective Optimization Problem by Constraint Optimization. 637-646 - Miqing Li, Jinhua Zheng, Ke Li, Qizhao Yuan, Ruimin Shen:
Enhancing Diversity for Average Ranking Method in Evolutionary Many-Objective Optimization. 647-656 - Antonio López Jaimes, Hernán E. Aguirre, Kiyoshi Tanaka, Carlos A. Coello Coello:
Objective Space Partitioning Using Conflict Information for Many-Objective Optimization. 657-666 - Frank Neumann, Madeleine Theile:
How Crossover Speeds Up Evolutionary Algorithms for the Multi-criteria All-Pairs-Shortest-Path Problem. 667-676 - Joseph M. Pasia, Hernán E. Aguirre, Kiyoshi Tanaka:
Path Relinking on Many-Objective NK-Landscapes. 677-686 - Pradyumn Kumar Shukla, Christian Hirsch, Hartmut Schmeck:
In Search of Equitable Solutions Using Multi-objective Evolutionary Algorithms. 687-696 - Marcin Studniarski:
Stopping Criteria for Genetic Algorithms with Application to Multiobjective Optimization. 697-706 - Tamara Ulrich, Johannes Bader, Lothar Thiele:
Defining and Optimizing Indicator-Based Diversity Measures in Multiobjective Search. 707-717 - Tobias Wagner, Michael Emmerich, André H. Deutz, Wolfgang Ponweiser:
On Expected-Improvement Criteria for Model-based Multi-objective Optimization. 718-727 - Simon Wessing, Nicola Beume, Günter Rudolph, Boris Naujoks:
Parameter Tuning Boosts Performance of Variation Operators in Multiobjective Optimization. 728-737
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