Genetic Algorithms

Genetic Algorithm Theory

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  A. E. Eiben, Emile H. L. Aarts, Kees M. van Hee: Global Convergence of Genetic Algorithms: A Markov Chain Analysis. 4-12
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  David E. Goldberg: The Theory of Virtual Alphabets. 13-22
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  Jürgen Hesser, Reinhard Männer: Towards an Optimal Mutation Probability for Genetic Algorithms. 23-32
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  Jürgen Hesser, Reinhard Männer: An Alternative Genetic Algorithm. 33-37
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  Kenneth A. De Jong, William M. Spears: An Analysis of the Interacting Roles of Population Size and Crossover in Genetic Algorithms. 38-47

Applications of Genetic Algorithms

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  Christian Blume: GLEAM - A System for Simulated `Intuitive Learning'. 48-54
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  Alberto Colorni, Marco Dorigo, Vittorio Maniezzo: Genetic Algorithms and Highly Constrained Problems: The Time-Table Case. 55-59
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  Yuval Davidor, Yaron Goldberg: An Evolution Standing on the Design of Redundant Manipulators. 60-69
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  Marleen Gerrits, Paulien Hogeweg: Redundant Coding of an NP-Complete Problem Allows Effective Genetic Algorithm Search. 70-74
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  Martin Hulin: Circuit Partitioning with Genetic Algorithms Using a Coding Scheme to Preserve the Structure of a Circuit. 75-79
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  Phil Husbands, Frank Mill, Stephen Warrington: Genetic Algorithms, Production Plan Optimisation, and Scheduling. 80-84
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  Timothy Johnson, Phil Husbands: System Identification Using Genetic Algorithms. 85-89
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  Carlos B. Lucasius, S. Werten, A. H. J. M. van Aert, Gerrit Kateman, M. J. J. Blommers: Conformational Analysis of DNA Using Genetic Algorithms. 90-97
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  Jung-Yul Suh, Chan-Do Lee: Operator-Oriented Genetic Algorithm and its Application to the Sliding Block Puzzle Problem. 98-103
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  Dirk Thierens, Leo Vercauteren: A Topology Exploiting Genetic Algorithm to Control Dynamic Systems. 104-108
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  Nico L. J. Ulder, Emile H. L. Aarts, Hans-Jürgen Bandelt, Peter J. M. van Laarhoven, Erwin Pesch: Genetic Local Search Algorithms for the Travelling Salesman Problem. 109-116

Genetic Programming

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  Hugo de Garis: Genetic Programming: Artificial Nervous Systems, Artificial Embryos and Embryological Electronics. 117-123
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  John R. Koza: Concept Formation and Decision Tree Induction Using the Genetic Programming Paradigm. 124-128

Parallel Implementations of Genetic Algorithms

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  Heinrich Braun: On Solving Travelling Salesman Problems by Genetic Algorithms. 129-133
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  James P. Cohoon, Worthy N. Martin, Dana S. Richards: Genetic Algorithms and Punctuated Equilibria in VLSI. 134-144
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  Terence C. Fogarty, Runhe Huang: Implementing the Genetic Algorithm on Transputer Based Parallel Processing Systems. 145-149
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  Martina Gorges-Schleuter: Explicit Parallelism of Genetic Algorithms through Population Structures. 150-159
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  Berthold Kröger, Peter Schwenderling, Oliver Vornberger: Parallel Genetic Packing of Rectangles. 160-164
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  Gregor von Laszewski, Heinz Mühlenbein: Partitioning a Graph with a Parallel Genetic Algorithm. 165-169
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  Peter Neuhaus: Solving the Mapping Problem - Experiences with a Genetic Algorithm. 170-175
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  Timothy Starkweather, L. Darrell Whitley, Keith E. Mathias: Optimization Using Distributed Genetic Algorithms. 176-185

Evolution Strategies

Applications of Evolution Strategies

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  Michael Herdy: Application of the `Evolutionsstrategie' to Discrete Optimization Problems. 188-192
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  Frank Kursawe: A Variant of Evolution Strategies for Vector Optimization. 193-197

Parallel Implementations of Evolution Strategies

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  Reinhard Lohmann: Application of Evolution Strategy in Parallel Populations. 198-208
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  Günter Rudolph: Global Optimization by Means of Distributed Evolution Strategies. 209-213

Simulated Annealing

Applications of Simulated Annealing

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  Iaakov Exman: Solving Sequential Games with Boltzmann-Learned Tactics. 216-220
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  Karl-Heinz Hoffmann, Michael Christoph, Martin Hanf: Optimizing Simulated Annealing. 221-225

Parallel Implementations of Simulated Annealing

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  Ingo Kreuzer, Karl Goser: A Local Timing Model for Parallel Optimization with Boltzmann Machines. 226-230
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  Pierre Roussel-Ragot, Nadia Kouicem, Gérard Dreyfus: Error-Free Parallel Implementation of Simulated Annealing. 231-241
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  R. L. Shoemaker, Harrison H. Barrett, R. H. Seacat III: TRIMM: A Parallel Processor for Image Reconstruction by Simulated Annealing. 242-251

Neural Networks

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  Alex M. Andrew: The Response-Time Constraint in Neural Evolution. 254-258
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  Robert J. Collins, David R. Jefferson: An Artificial Neural Network Representation for Artificial Organisms. 259-263
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  Selwyn Piramuthu: Feature Construction for Back-Propagation. 264-268
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  Ralf Salomon: Improved Convergence Rate of Back-Propagation with Dynamic Adaptation of the Learning Rate. 269-273
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  Wolfram Schiffmann, Merten Joost, Randolf Werner: Performance Evaluation of Evolutionarily Created Neural Network Topologies. 274-283
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  A. A. Vedenov, M. V. Zurin, E. B. Levchenko, G. D. Myl'nikov, A. N. Timashev, A. Yu. Turygin: Optical Image Preprocessing for Neural Network Classifier Systems. 284-291

Neural Networks and Genetic Algorithms

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  Peter J. B. Hancock, Leslie S. Smith: GANNET: Genetic Design of a Neural Net for Face Recognition. 292-296
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  Jochen Heistermann: The Application of a Genetic Approach as an Algorithm for Neural Networks. 297-301
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  Klaus-Uwe Höffgen, H. Peter Siemon, Alfred Ultsch: Genetic Improvements of Feedforward Nets for Approximating Functions. 302-306
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  Peter M. Todd, Geoffrey F. Miller: Exploring Adaptive Agency III: Simulating the Evolution of Habituation and Sensitization. 307-313

Neural Networks and Evolution Strategies

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  Michael Scholz: A Learning Strategy for Neural Networks Based on a Modified Evolutionary Strategy. 314-318

Classifier Systems and Immune Networks

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  Stephanie Forrest, Alan S. Perelson: Genetic Algorithms and the Immune System. 320-325
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  Bernard Manderick: Selectionist Categorization. 326-330
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  Andreas Schachtner: A Classifier System with Integrated Genetic Operators. 331-337
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  Manuel Valenzuela-Rendón: The Fuzzy Classifier System: Motivations and first Results. 338-342
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  Hugues Bersini, Francisco J. Varela: Hints for Adaptive Problem Solving Gleaned from Immune Networks. 343-354

Parallel Implementations in General

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  Jo Decuyper, Didier Keymeulen: A Reactive Robot Navigation System Based on a Fluid Dynamics Metaphor. 356-362
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  Ray Paton, Hyacinth S. Nwana, Michael J. R. Shave, Trevor J. M. Bench-Capon, Sheila Hughes: Transfer of Natural Metaphors to Parallel Problem Solvin Applications. 363-372
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  Hans-Michael Voigt, Joachim Born, Ivan Santibáñez-Koref: Modelling and Simulation of Distributed Evolutionary Search Processes for Function Optimization. 373-380
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  Maja J. Mataric: Parallel, Decentralized Spatial Mapping for Robot Navigation and Path Planning. 381-386

Adaptation and Evolution in General

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  Nobue Adachi, Kazuhiro Matsuo: Ecological Dynamics under Different Selection Rules in Distributed and Iterated Prisoner's Dilemma Games. 388-394
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  Stephen T. Barnard, Aviv Bergman: Adaptation in Signal Spaces. 395-404
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  Luis R. Lopez, H. John Caulfield: A Principle of Minimum Complexity in Evolution. 405-409
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  Jan Paredis: The Emergence of Data Structures from Local Interactions. 410-414
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  Jonathan Schull: The View from the Adaptive Landscape. 415-427

Comparison of Problem Solving Strategies from Nature

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  Thorsten Boseniuk, Werner Ebeling: Boltzmann-, Darwin-, and Haeckel-Strategies in Optimization Problems. 430-444
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  Claas de Groot, Diethelm Würtz, Karl-Heinz Hoffmann: Optimizing Complex Problems by Nature's Algorithms: Simulated Annealing and Evolution Strategy - A Comparative Study. 445-454
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  Frank Hoffmeister, Thomas Bäck: Genetic Algorithms and Evolution Strategies - Similarities and Differences. 455-469

The Evening Lecture

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  Peter Bock: Building the Ultimate Machine: The Emergence of Artificial Cognition. 472-481

last updated on Fri May 24 05:22:47 2013 by the dblp team
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