9. PPSN 2006: Reykjavik, Iceland

Theory

• Hendrik Richter:
  Evolutionary Optimization in Spatio-temporal Fitness Landscapes. 1-10
  
• Dirk V. Arnold:
  Cumulative Step Length Adaptation on Ridge Functions. 11-20
  
• Olivier Teytaud, Sylvain Gelly:
  General Lower Bounds for Evolutionary Algorithms. 21-31
  
• Olivier Teytaud, Sylvain Gelly, Jérémie Mary:
  On the Ultimate Convergence Rates for Isotropic Algorithms and the Best Choices Among Various Forms of Isotropy. 32-41
  
• Rui Li, Michael T. M. Emmerich, Jeroen Eggermont, Ernst G. P. Bovenkamp, Thomas Bäck, Jouke Dijkstra, Johan H. C. Reiber:
  Mixed-Integer NK Landscapes. 42-51
  
• Jens Jägersküpper, Tobias Storch:
  How Comma Selection Helps with the Escape from Local Optima. 52-61
  
• Nikolaus Hansen, Fabian Gemperle, Anne Auger, Petros Koumoutsakos:
  When Do Heavy-Tail Distributions Help? 62-71
  
• Hans-Georg Beyer, Silja Meyer-Nieberg:
  Self-adaptation on the Ridge Function Class: First Results for the Sharp Ridge. 72-81
  
• Monte Lunacek, L. Darrell Whitley:
  Searching for Balance: Understanding Self-adaptation on Ridge Functions. 82-91
  
• Jonathan L. Shapiro:
  Diversity Loss in General Estimation of Distribution Algorithms. 92-101
  
• Yossi Borenstein, Riccardo Poli:
  Information Perspective of Optimization. 102-111
  

New Algorithms

• Wenjian Luo, Xin Wang, Ying Tan, Xufa Wang:
  A Novel Negative Selection Algorithm with an Array of Partial Matching Lengths for Each Detector. 112-121
  
• Martin Pelikan, Alexander K. Hartmann, Kumara Sastry:
  Hierarchical BOA, Cluster Exact Approximation, and Ising Spin Glasses. 122-131
  
• Wilfried Jakob:
  Towards an Adaptive Multimeme Algorithm for Parameter Optimisation Suiting the Engineers' Needs. 132-141
  
• Ofer M. Shir, Thomas Bäck:
  Niche Radius Adaptation in the CMA-ES Niching Algorithm. 142-151
  
• Bart G. W. Craenen, Ben Paechter:
  A Tabu Search Evolutionary Algorithm for Solving Constraint Satisfaction Problems. 152-161
  
• Shigeyoshi Tsutsui:
  cAS: Ant Colony Optimization with Cunning Ants. 162-171
  
• Gang Li, Kin-Hong Lee, Kwong-Sak Leung:
  Genetic Algorithm Based on Independent Component Analysis for Global Optimization. 172-181
  
• Uwe Aickelin, Edmund K. Burke, Jingpeng Li:
  Improved Squeaky Wheel Optimisation for Driver Scheduling. 182-191
  
• Carlos García-Martínez, Manuel Lozano, Daniel Molina:
  A Local Genetic Algorithm for Binary-Coded Problems. 192-201
  
• Ender Özcan, Burak Bilgin, Emin Erkan Korkmaz:
  Hill Climbers and Mutational Heuristics in Hyperheuristics. 202-211
  
• José E. Gallardo, Carlos Cotta, Antonio J. Fernández:
  A Multi-level Memetic/Exact Hybrid Algorithm for the Still Life Problem. 212-221
  
• M. Tripathy, Sukumar Mishra, L. L. Lai, Q. P. Zhang:
  Transmission Loss Reduction Based on FACTS and Bacteria Foraging Algorithm. 222-231
  
• Cláudio F. Lima, Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg, Fernando G. Lobo:
  Substructural Neighborhoods for Local Search in the Bayesian Optimization Algorithm. 232-241
  
• Enrique Alba Torres, Julio Madera, Bernabé Dorronsoro Díaz, Alberto Ochoa, Marta Soto:
  Theory and Practice of Cellular UMDA for Discrete Optimization. 242-251
  
• Carlos Cotta, Iván Dotú, Antonio J. Fernández, Pascal Van Hentenryck:
  A Memetic Approach to Golomb Rulers. 252-261
  
• Nadia Busi, Miguel A. Gutiérrez-Naranjo:
  Some Notes on (Mem)Brane Computation. 262-271
  

Applications

• Peter Merz, Steffen Wolf:
  Evolutionary Local Search for Designing Peer-to-Peer Overlay Topologies Based on Minimum Routing Cost Spanning Trees. 272-281
  
• Sancho Salcedo-Sanz, José Sáez Landete, Manuel Rosa-Zurera:
  Nature-Inspired Algorithms for the Optimization of Optical Reference Signals. 282-291
  
• Kiyoharu Tagawa, Mikiyasu Matsuoka:
  Optimum Design of Surface Acoustic Wave Filters Based on the Taguchi's Quality Engineering with a Memetic Algorithm. 292-301
  
• Lourdes Araujo, José A. Cuesta, Juan J. Merelo Guervós:
  Genetic Algorithm for Burst Detection and Activity Tracking in Event Streams. 302-311
  
• Peter A. N. Bosman, Han La Poutré:
  Computationally Intelligent Online Dynamic Vehicle Routing by Explicit Load Prediction in an Evolutionary Algorithm. 312-321
  
• Elsa Jordaan, Jaap den Doelder, Guido Smits:
  Novel Approach to Develop Rheological Structure-Property Relationships Using Genetic Programming. 322-331
  
• Juan Diego Trujillo, Carlos Cotta:
  An Evolutionary Approach to the Inference of Phylogenetic Networks. 332-341
  
• Francisco Flórez-Revuelta, José Manuel Casado-Díaz, Lucas Martínez-Bernabeu:
  An Evolutive Approach for the Delineation of Local Labour Markets. 342-351
  
• Stefan Menzel, Markus Olhofer, Bernhard Sendhoff:
  Direct Manipulation of Free Form Deformation in Evolutionary Design Optimisation. 352-361
  
• Olga Rudenko, Oleg Chubar:
  An Evolutionary Approach to Shimming Undulator Magnets for Synchrotron Radiation Sources. 362-371
  
• Yuichi Nagata:
  New EAX Crossover for Large TSP Instances. 372-381
  
• Vojtech Krmicek, Michèle Sebag:
  Functional Brain Imaging with Multi-objective Multi-modal Evolutionary Optimization. 382-391
  
• Patrick H. Corr, Barry McCollum, M. A. J. McGreevy, P. J. P. McMullan:
  A New Neural Network Based Construction Heuristic for the Examination Timetabling Problem. 392-401
  
• Paul Weal, David W. Corne, Chris Murphy:
  Optimisation of CDMA-Based Mobile Telephone Networks: Algorithmic Studies on Real-World Networks. 402-412
  
• Rebecca Haines, David W. Corne:
  Evolving Novel and Effective Treatment Plans in the Context of Infection Dynamics Models: Illustrated with HIV and HAART Therapy. 413-422
  
• Tiziana Gravagnoli, Fabrizio Ferrandi, Pier Luca Lanzi, Donatella Sciuto:
  Automatic Test Pattern Generation with BOA. 423-432
  

Multi-objective Optimization

• Lourdes Araujo:
  Multiobjective Genetic Programming for Natural Language Parsing and Tagging. 433-442
  
• Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff, Edward P. K. Tsang:
  Modelling the Population Distribution in Multi-objective Optimization by Generative Topographic Mapping. 443-452
  
• Pedro A. Castillo Valdivieso, Maribel García Arenas, Juan J. Merelo Guervós, Víctor Manuel Rivas Santos, Gustavo Romero:
  Multiobjective Optimization of Ensembles of Multilayer Perceptrons for Pattern Classification. 453-462
  
• Evan J. Hughes:
  Multi-Objective Equivalent Random Search. 463-472
  
• Kuntinee Maneeratana, Kittipong Boonlong, Nachol Chaiyaratana:
  Compressed-Objective Genetic Algorithm. 473-482
  
• Luis V. Santana-Quintero, Noel Ramírez-Santiago, Carlos A. Coello Coello, Julián Molina Luque, Alfredo García Hernández-Díaz:
  A New Proposal for Multiobjecive Optimization Using Particle Swarm Optimization and Rough Sets Theory. 483-492
  
• Hisao Ishibuchi, Tsutomu Doi, Yusuke Nojima:
  Incorporation of Scalarizing Fitness Functions into Evolutionary Multiobjective Optimization Algorithms. 493-502
  
• Nasreddine Hallam, Graham Kendall, Peter Blanchfield:
  Solving Multi-objective Optimisation Problems Using the Potential Pareto Regions Evolutionary Algorithm. 503-512
  
• Mike Preuss, Boris Naujoks, Günter Rudolph:
  Pareto Set and EMOA Behavior for Simple Multimodal Multiobjective Functions. 513-522
  
• Jürgen Branke, Sanaz Mostaghim:
  About Selecting the Personal Best in Multi-Objective Particle Swarm Optimization. 523-532
  
• Dimo Brockhoff, Eckart Zitzler:
  Are All Objectives Necessary? On Dimensionality Reduction in Evolutionary Multiobjective Optimization. 533-542
  
• Ricardo Landa Becerra, Carlos A. Coello Coello:
  Solving Hard Multiobjective Optimization Problems Using epsilon-Constraint with Cultured Differential Evolution. 543-552
  
• Saku Kukkonen, Kalyanmoy Deb:
  A Fast and Effective Method for Pruning of Non-dominated Solutions in Many-Objective Problems. 553-562
  
• Philip Hingston, Luigi Barone, Simon Huband, R. Lyndon While:
  Multi-level Ranking for Constrained Multi-objective Evolutionary Optimisation. 563-572
  
• Michael Calonder, Stefan Bleuler, Eckart Zitzler:
  Module Identification from Heterogeneous Biological Data Using Multiobjective Evolutionary Algorithms. 573-582
  
• Hui Li, Qingfu Zhang:
  A Multiobjective Differential Evolution Based on Decomposition for Multiobjective Optimization with Variable Linkages. 583-592
  

Evolutionary Learning

• Yuri Tsoy, Vladimir Spitsyn:
  Digital Images Enhancement with Use of Evolving Neural Networks. 593-602
  
• Vineet R. Khare, Bernhard Sendhoff, Xin Yao:
  Environments Conducive to Evolution of Modularity. 603-612
  
• Julian Togelius, Simon M. Lucas:
  Arms Races and Car Races. 613-622
  
• Horst Wedde, Constantin Timm, Muddassar Farooq:
  BeeHiveAIS: A Simple, Efficient, Scalable and Secure Routing Framework Inspired by Artificial Immune Systems. 623-632
  
• Peter Tino:
  Critical Temperatures for Intermittent Search in Self-Organizing Neural Networks. 633-640
  
• Matthew Beauregard, Paul J. Kennedy:
  Robust Simulation of Lamprey Tracking. 641-650
  
• Deniz Aydemir, Hitoshi Iba:
  Evolutionary Behavior Acquisition for Humanoid Robots. 651-660
  
• Cecilia Di Chio, Riccardo Poli, Paolo Di Chio:
  Modelling Group-Foraging Behaviour with Particle Swarms. 661-670
  
• Peter Dürr, Claudio Mattiussi, Dario Floreano:
  Neuroevolution with Analog Genetic Encoding. 671-680
  
• Emin Erkan Korkmaz:
  A Two-Level Clustering Method Using Linear Linkage Encoding. 681-690
  
• Giovanni Da San Martino, Franco Alberto Cardillo, Antonina Starita:
  A New Swarm Intelligence Coordination Model Inspired by Collective Prey Retrieval and Its Application to Image Alignment. 691-700
  
• Colin Frayn, Andy Pryke, Siang Yew Chong:
  Exploring the Effect of Proximity and Kinship on Mutual Cooperation in the Iterated Prisoner's Dilemma. 701-710
  
• Ehud Schlessinger, Peter J. Bentley, R. Beau Lotto:
  Investigating the Emergence of Multicellularity Using a Population of Neural Network Agents. 711-720
  
• Jan Koutník, Roman Mázl, Miroslav Kulich:
  Building of 3D Environment Models for Mobile Robotics Using Self-organization. 721-730
  
• Peter Lamborn, Michael D. Jones:
  January: A Parallel Algorithm for Bug Hunting Based on Insect Behavior. 731-740
  
• R. Paul Wiegand, Mitchell A. Potter, Donald Sofge, William M. Spears:
  A Generalized Graph-Based Method for Engineering Swarm Solutions to Multiagent Problems. 741-750
  

Representations, Operators, and Empirical Evaluation

• Garnett Carl Wilson, Malcolm I. Heywood:
  Probabilistic Adaptive Mapping Developmental Genetic Programming (PAM DGP): A New Developmental Approach. 751-760
  
• Adrien Goëffon, Jean-Michel Richer, Jin-Kao Hao:
  A Distance-Based Information Preservation Tree Crossover for the Maximum Parsimony Problem. 761-770
  
• Remco Loos, Carlos Martín-Vide, Victor Mitrana:
  Solving SAT and HPP with Accepting Splicing Systems. 771-777
  
• Edgar Galván López, Riccardo Poli:
  Some Steps Towards Understanding How Neutrality Affects Evolutionary Search. 778-787
  
• Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg:
  Performance of Evolutionary Algorithms on Random Decomposable Problems. 788-797
  
• Richard M. Downing:
  Evolving Binary Decision Diagrams with Emergent Variable Orderings. 798-807
  
• Stefan Bornhofen, Claude Lattaud:
  Life History Evolution of Virtual Plants: Trading Off Between Growth and Reproduction. 808-817
  
• César Estébanez, Julio César Hernández Castro, Arturo Ribagorda, Pedro Isasi Viñuela:
  Finding State-of-the-Art Non-cryptographic Hashes with Genetic Programming. 818-827
  
• Hisashi Shimosaka, Tomoyuki Hiroyasu, Mitsunori Miki:
  Offspring Generation Method Using Delaunay Triangulation for Real-Coded Genetic Algorithms. 828-838
  
• Julia Handl, Joshua D. Knowles:
  An Investigation of Representations and Operators for Evolutionary Data Clustering with a Variable Number of Clusters. 839-849
  
• Carlos Lamenca-Martinez, Julio César Hernández Castro, Juan M. Estévez-Tapiador, Arturo Ribagorda:
  Lamar: A New Pseudorandom Number Generator Evolved by Means of Genetic Programming. 850-859
  
• Edmund K. Burke, Matthew R. Hyde, Graham Kendall:
  Evolving Bin Packing Heuristics with Genetic Programming. 860-869
  
• Edgar Galván López, Katya Rodríguez-Vázquez:
  The Importance of Neutral Mutations in GP. 870-879
  
• Christine L. Mumford:
  New Order-Based Crossovers for the Graph Coloring Problem. 880-889
  
• Gabriela Ochoa, Klaus Jaffe:
  Assortative Mating Drastically Alters the Magnitude of Error Thresholds. 890-899
  
• A. E. Eiben, Martijn C. Schut, A. R. de Wilde:
  Is Self-adaptation of Selection Pressure and Population Size Possible? - A Case Study. 900-909
  
• Leticia C. Cagnina, Susana C. Esquivel, Carlos A. Coello Coello:
  A Particle Swarm Optimizer for Constrained Numerical Optimization. 910-919
  
• Carlos M. Fernandes, Agostinho C. Rosa:
  Self-regulated Population Size in Evolutionary Algorithms. 920-929
  
• Bryant A. Julstrom, Brenda Hinkemeyer:
  Starting from Scratch: Growing Longest Common Subsequences with Evolution. 930-938
  
• Stefan Kern, Nikolaus Hansen, Petros Koumoutsakos:
  Local Meta-models for Optimization Using Evolution Strategies. 939-948
  
• Hisao Ishibuchi, Tsutomu Doi, Yusuke Nojima:
  Effects of Using Two Neighborhood Structures in Cellular Genetic Algorithms for Function Optimization. 949-958
  
• Jirí Kubalík, Petr Posík, Jan Herold:
  A Selecto-recombinative Genetic Algorithm with Continuous Chromosome Reconfiguration. 959-968
  
• Jason H. Moore, Bill C. White:
  Exploiting Expert Knowledge in Genetic Programming for Genome-Wide Genetic Analysis. 969-977
  
• Benjamin Doerr, Nils Hebbinghaus, Frank Neumann:
  Speeding Up Evolutionary Algorithms Through Restricted Mutation Operators. 978-987
  
• L. Darrell Whitley, Monte Lunacek, Artem Sokolov:
  Comparing the Niches of CMA-ES, CHC and Pattern Search Using Diverse Benchmarks. 988-997
  
• Elon Santos Correa, Jonathan L. Shapiro:
  Model Complexity vs. Performance in the Bayesian Optimization Algorithm. 998-1007
  
• Christian Gagné, Marc Schoenauer, Michèle Sebag, Marco Tomassini:
  Genetic Programming for Kernel-Based Learning with Co-evolving Subsets Selection. 1008-1017
  
• Alberto Moraglio, Riccardo Poli:
  Product Geometric Crossover. 1018-1027
  
• Dirk Thierens:
  Exploration and Exploitation Bias of Crossover and Path Relinking for Permutation Problems. 1028-1037
  
• Alberto Moraglio, Riccardo Poli:
  Geometric Crossover for Sets, Multisets and Partitions. 1038-1047
  
• Thomas Philip Runarsson:
  Ordinal Regression in Evolutionary Computation. 1048-1057
  

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