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5th PPSN 1998: Amsterdam, The Netherlands
- A. E. Eiben, Thomas Bäck, Marc Schoenauer, Hans-Paul Schwefel:
Parallel Problem Solving from Nature - PPSN V, 5th International Conference, Amsterdam, The Netherlands, September 27-30, 1998, Proceedings. Lecture Notes in Computer Science 1498, Springer 1998, ISBN 3-540-65078-4
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
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
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
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
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
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-Pérez
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
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
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 Premji 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
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, Jason 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
Integrated Facility Design Using an Evolutionary Approach with a Subordinate Network Algorithm. 937-946 - Jinn-Moon Yang
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 - Jesús González Peñalver
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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