5. PPSN 1998: Amsterdam, The Netherlands

Convergence Theory

• Alexandru Agapie:
  Modelling Genetic Algorithms: From Markov Chains to Dependence with Complete Connections. 3-12
  
• Stefan Droste, Thomas Jansen, Ingo Wegener:
  On the Optimization of Unimodal Functions with the (1 + 1) Evolutionary Algorithm. 13-22
  
• Jeffrey Horn, David E. Goldberg:
  A Timing Analysis of Convergence to Fitness Sharing Equilibrium. 23-33
  
• Ahmet Irfan Oyman, Hans-Georg Beyer, Hans-Paul Schwefel:
  Where Elitists Start Limping Evolution Strategies at Ridge Functions. 34-46
  

Fitness Landscapes and Problem Difficulty

• Cyril Fonlupt, Denis Robilliard, Philippe Preux:
  A Bit-Wise Epistasis Measure for Binary Search Spaces. 47-56
  
• Leila Kallel:
  Inside GA Dynamics: Ground Basis for Comparison. 57-66
  
• Bart Naudts, Jan Naudts:
  The Effect of Spin-Flip Symmetry on the Performance of the Simple GA. 67-76
  
• R. J. Quick, Victor J. Rayward-Smith, G. D. Smith:
  Fitness Distance Correlation and Ridge Functions. 77-86
  
• Alain Ratle:
  Accelerating the Convergence of Evolutionary Algorithms by Fitness Landscape Approximation. 87-96
  
• Richard A. Watson, Gregory Hornby, Jordan B. Pollack:
  Modeling Building-Block Interdependency. 97-108
  

Noisy and Non-stationary Objective Functions

• Hans-Georg Beyer:
  Mutate Large, But Inherit Small! On the Analysis of Rescaled Mutations in 1-lambda-ES with Noisy Fitness Data. 109-118
  
• Jürgen Branke:
  Creating Robust Solutions by Means of Evolutionary Algorithms. 119-128
  
• Samarjit Chakraborty, Kalyanmoy Deb:
  Analytic Curve Detection from a Noisy Binary Edge Map Using Genetic Algorithm. 129-138
  
• Jonathan Lewis, Emma Hart, Graeme Ritchie:
  A Comparison of Dominance Mechanisms and Simple Mutation on Non-stationary Problems. 139-148
  
• Naoki Mori, Hajime Kita, Yoshikazu Nishikawa:
  Adaptation to a Changing Environment by Means of the Feedback Thermodynamical Genetic Algorithm. 149-158
  
• Volker Nissen, Jörn Propach:
  Optimization with Noisy Function Evaluations. 159-168
  
• Günter Rudolph:
  On Risky Methods for Local Selection under Noise. 169-177
  
• Conor Ryan, J. J. Collins:
  Polygenic Inheritance - A Haploid Scheme that Can Outperform Diploidy. 178-187
  
• Peter Stagge:
  Averaging Efficiently in the Presence of Noise. 188-200
  

Multi-criteria and Constrained Optimization

• A. E. Eiben, Jano I. van Hemert, Elena Marchiori, Adri G. Steenbeek:
  Solving Binary Constraint Satisfaction Problems Using Evolutionary Algorithms with an Adaptive Fitness Function. 201-210
  
• Spiridon A. Kazarlis, Vassilios Petridis:
  Varying Fitness Functions in Genetic Algorithms: Studying the Rate of Increase of the Dynamic Penalty Terms. 211-220
  
• Dae Gyu Kim, Phil Husbands:
  Landscape Changes and the Performance of Mapping Based Constraint Handling Methods. 221-230
  
• Slawomir Koziel, Zbigniew Michalewicz:
  A Decoder-Based Evolutionary Algorithm for Constrained Parameter Optimization Problems. 231-240
  
• Marco Laumanns, Günter Rudolph, Hans-Paul Schwefel:
  A Spatial Predator-Prey Approach to Multi-objective Optimization: A Preliminary Study. 241-249
  
• Geoffrey T. Parks, I. Miller:
  Selective Breeding in a Multiobjective Genetic Algorithm. 250-259
  
• Shigeru Obayashi, Shinichi Takahashi, Yukihiro Takeguchi:
  Niching and Elitist Models for MOGAs. 260-269
  
• Alvaro Ruiz-Andino, Lourdes Araujo, José J. Ruz, Fernando Sáenz:
  Parallel Evolutionary Optimisation with Constraint Propagation. 270-279
  
• Tina Yu, Peter J. Bentley:
  Methods to Evolve Legal Phenotypes. 280-291
  
• Eckart Zitzler, Lothar Thiele:
  Multiobjective Optimization Using Evolutionary Algorithms - A Comparative Case Study. 292-304
  

Representation Issues

• Carlos Cotta, Enrique Alba, José M. Troya:
  Utilizing Dynastically Optimal Forma Recombination in Hybrid Genetic Algorithms. 305-314
  
• Hillol Kargupta, Sanghamitra Bandyopadhyay:
  Further Experimentations on the Scalability of the GEMGA. 315-324
  
• Ik Soo Lim, Daniel Thalmann:
  Indexed Memory as a Generic Protocol for Handling Vectors of Data in Genetic Programming. 325-334
  
• Gabriela Ochoa:
  On Genetic Algorithms and Lindenmayer Systems. 335-344
  
• Connie Loggia Ramsey, Kenneth A. De Jong, John J. Grefenstette, Annie S. Wu, Donald S. Burke:
  Genome Length as an Evolutionary Self-adaptation. 345-356
  

Selection, Operators and Evolution Schemes

• Alex S. Fukunaga:
  Restart Scheduling for Genetic Algorithms. 357-366
  
• Martina Gorges-Schleuter:
  A Comparative Study of Global and Local Selection in Evolution Strategies. 367-377
  
• Márk Jelasity:
  UEGO, an Abstract Niching Technique for Global Optimization. 378-387
  
• Alexander Leonhardi, Wolfgang Reissenberger, Tim Schmelmer, Karsten Weicker, Nicole Weicker:
  Development of Problem-Specific Evolutionary Algorithms. 388-397
  
• Keith E. Mathias, J. David Schaffer, Larry J. Eshelman, Murali Mani:
  The Effects of Control Parameters and Restarts on Search Stagnation in Evolutionary Programming. 398-407
  
• Ralf Salomon:
  Accelerating the Evolutionary-Gradient-Search Procedure: Individual Step Sizes. 408-417
  
• Michèle Sebag, Antoine Ducoulombier:
  Extending Population-Based Incremental Learning to Continuous Search Spaces. 418-427
  
• Shigeyoshi Tsutsui:
  Multi-parent Recombination in Genetic Algorithms with Search Space Boundary Extension by Mirroring. 428-437
  
• Kanta Vekaria, Chris Clack:
  Selective Crossover in Genetic Algorithms: An Empirical Study. 438-447
  
• Rong Yang:
  Line-Breeding Schemes for Combinatorial Optimization. 448-460
  

Coevolution and Learning

• Shumeet Baluja:
  Finding Regions of Uncertainty in Learned Models: An Application to Face Detection. 461-470
  
• Larry Bull:
  On ZCS in Multi-agent Environments. 471-480
  
• Kim W. C. Ku, Man-Wai Mak:
  Empirical Analysis of the Factors that Affect the Baldwin Effect. 481-490
  
• Ibrahim Kuscu:
  Promoting Generalisation of Learned Behaviours in Genetic Programming. 491-500
  
• Pier Luca Lanzi:
  Generalization in Wilson's Classifier System. 501-510
  
• Helmut A. Mayer:
  Symbiotic Coevolution of Artificial Neural Networks and Training Data Sets. 511-520
  
• Clemens Pötter:
  Information-Theoretic Analysis of a Mobile Agent's Learning in a Discrete State Space. 521-529
  
• Mitchell A. Potter, Kenneth A. De Jong:
  The Coevolution of Antibodies for Concept Learning. 530-539
  
• Jonathan L. Shapiro:
  Does Data-Model Co-evolution Improve Generalization Performance of Evolving Learners? 540-549
  
• Andy Tomlinson, Larry Bull:
  A Corporate Classifier System. 550-559
  
• R. Paul Wiegand:
  Applying Diffusion to a Cooperative Coevolutionary Model. 560-572
  

Cellular Automata, Fuzzy Systems and Neural Networks

• Mathieu S. Capcarrère, Andrea Tettamanzi, Marco Tomassini, Moshe Sipper:
  Studying Parallel Evolutionary Algorithms: The Cellular Programming Case. 573-582
  
• Kalyanmoy Deb, Dilip Kumar Pratihar, Amitabha Ghosh:
  Learning to Avoid Moving Obstacles Optimally for Mobile Robots Using a Genetic-Fuzzy Approach. 583-592
  
• Ivan De Falco, Aniello Iazzetta, P. Natale, Ernesto Tarantino:
  Evolutionary Neural Networks for Nonlinear Dynamics Modeling. 593-602
  
• Francisco Herrera, Manuel Lozano, Claudio Moraga:
  Hybrid Distributed Real-Coded Genetic Algorithms. 603-612
  
• Wim Hordijk, James P. Crutchfield, Melanie Mitchell:
  Mechanisms of Emergent Computation in Cellular Automata. 613-622
  
• Yong Liu, Xin Yao:
  Towards Designing Neural Network Ensembles by Evolution. 623-632
  
• Colin R. Reeves, Stewart J. Taylor:
  Selection of Training Data for Neural Networks by a Genetic Algorithm. 633-642
  
• Franciszek Seredynski:
  Discovery with Genetic Algorithm Scheduling Strategies for Cellular Automata. 643-652
  
• Moshe Sipper:
  Simple + Parallel + Local = Cellular Computing. 653-662
  
• Anne Spalanzani, Harouna Kabré:
  Evolution, Learning and Speech Recognition in Changing Acoustic Environments. 663-672
  

Ant Colonies, Immune Systems, and Other Paradigms

• Gianni Di Caro, Marco Dorigo:
  Ant Colonies for Adaptive Routing in Packet-Switched Communications Networks. 673-682
  
• Wael Khatib, Peter J. Fleming:
  The Stud GA: A Mini Revolution? 683-691
  
• René Michel, Martin Middendorf:
  An Island Model Based Ant System with Lookahead for the Shortest Supersequence Problem. 692-701
  
• Hidefumi Sawai, Sachio Kizu:
  Parameter-Free Genetic Algorithm Inspired by ``Disparity Theory of Evolution''. 702-711
  
• Vanio Slavov, Nikolay I. Nikolaev:
  Immune Network Dynamics for Inductive Problem Solving. 712-721
  
• Thomas Stützle:
  Parallelization Strategies for Ant Colony Optimization. 722-731
  
• Richard Tateson:
  Self-Organising Pattern Formation: Fruit Flies and Cell Phones. 732-744
  

Applications

TSP, Graphs and Satisfiability

• Raphaël Dorne, Jin-Kao Hao:
  A New Genetic Local Search Algorithm for Graph Coloring. 745-754
  
• Jens Gottlieb, Nico Voss:
  Improving the Performance of Evolutionary Algorithms for the Satisfiability Problem by Refining Functions. 755-764
  
• Peter Merz, Bernd Freisleben:
  Memetic Algorithms and the Fitness Landscape of the Graph Bi-Partitioning Problem. 765-774
  
• Martin J. Oates, David Corne:
  Investigating Evolutionary Approaches to Adaptive Database Management Against Various Quality of Service Metrics. 775-784
  
• Soraya B. Rana, L. Darrell Whitley:
  Genetic Algorithm Behavior in the MAXSAT Domain. 785-794
  
• Peter Ross, Emma Hart:
  An Adaptive Mutation Scheme for a Penalty-Based Graph-Colouring GA. 795-802
  
• Guo Tao, Zbigniew Michalewicz:
  Inver-over Operator for the TSP. 803-812
  
• Tim Walters:
  Repair and Brood Selection in the Traveling Salesman Problem. 813-822
  
• Jean-Paul Watson, Charlie Ross, V. Eisele, J. Denton, José Bins, C. Guerra, L. Darrell Whitley, Adele E. Howe:
  The Traveling Salesrep Problem, Edge Assembly Crossover, and 2-opt. 823-834
  

Scheduling, Partitioning and Packing

• Consolación Gil, Julio Ortega, Antonio F. Díaz, Maria Dolores Gil Montoya, Alberto Prieto:
  Load Balancing in Parallel Circuit Testing with Annealing-Based and Genetic Algorithms. 834-844
  
• Emma Hart, Peter Ross:
  A Heuristic Combination Method for Solving Job-Shop Scheduling Problems. 845-854
  
• Sofiane Oussedik, Daniel Delahaye:
  Reduction of Air Traffic Congestion by Genetic Algorithms. 855-864
  
• Ben Paechter, R. C. Rankin, Andrew Cumming, Terence C. Fogarty:
  Timetabling the Classes of an Entire University with an Evolutionary Algorithm. 865-874
  
• Günther R. Raidl, Gabriele Kodydek:
  Genetic Algorithms for the Multiple Container Packing Problem. 875-884
  
• Jürgen Teich, Eckart Zitzler, Shuvra S. Bhattacharyya:
  Buffer Memory Optimization in DSP Applications - An Evolutionary Approach. 885-896
  

Design and Telecommunications

• Christine Crisan, Heinz Mühlenbein:
  The Breeder Genetic Algorithm for Frequency Assignment. 897-906
  
• Christine L. Valenzuela, Steve Hurley, Derek H. Smith:
  A Permutation Based Genetic Algorithm for Minimum Span Frequency Assignment. 907-916
  
• Wilfried Jakob, Martina Gorges-Schleuter, Ingo Sieber:
  Comparison of Evolutionary Algorithms for Design Optimization. 917-926
  
• Julian F. Miller, Peter Thomson:
  Aspects of Digital Evolution: Evolvability and Architecture. 927-936
  
• Bryan A. Norman, Alice E. Smith, Rifat Aykut Arapoglu:
  Integrated Facility Design Using an Evolutionary Approach with a Subordinate Network Algorithm. 937-946
  
• Jinn-Moon Yang, Cheng-Yan Kao:
  An Evolutionary Algorithm for Synthesizing Optical Thin-Film Designs. 947-958
  

Model Estimations and Layout Problems

• Eckart Bindewald, Jürgen Hesser, Reinhard Männer:
  Implementing Genetic Algorithms with Sterical Constraints for Protein Structure Prediction. 959-967
  
• S. K. Cheung, Kwong-Sak Leung, Andreas Alexander Albrecht, C. K. Wong:
  Optimal Placements of Flexible Objects: An Adaptive Simulated Annealing Approach. 968-977
  
• Hannes Geyer, Peter Ulbig, Siegfried Schulz:
  Encapsulated Evolution Strategies for the Determination of Group Contribution Model Parameters in Order to Predict Thermodynamic Properties. 978-987
  
• Daniel Kobler, Andrea Tettamanzi:
  Recombination Operators for Evolutionary Graph Drawing. 988-997
  
• Martin Kreutz, Anja M. Reimetz, Bernhard Sendhoff, Claus Weihs, Werner von Seelen:
  Optimisation of Density Estimation Models with Evolutionary Algorithms. 998-1007
  
• E. Paterakis, Vassilios Petridis, Athanasios Kehagias:
  Genetic Algorithm in Parameter Estimation of Nonlinear Dynamic Systems. 1008-1017
  
• J. González Peñalver, Juan J. Merelo Guervós:
  Optimizing Web Page Layout Using an Annealed Genetic Algorithm as Client-Side Script. 1018-1027
  
• Koichi Hatta, Masashige Suzuki, Shin'ichi Wakabayashi, Tetsushi Koide:
  Solving the Capacitor Placement Problem in a Radial Distribution System Using an Adaptive Genetic Algorithm. 1028-1037
  

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