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ORCID1st PPSN 1990: Dortmund, Germany
- Hans-Paul Schwefel, Reinhard Männer:
Parallel Problem Solving from Nature, 1st Workshop, PPSN I, Dortmund, Germany, October 1-3, 1990, Proceedings. Lecture Notes in Computer Science 496, Springer 1991, ISBN 3-540-54148-9
Genetic Algorithms
Genetic Algorithm Theory
- A. E. Eiben, Emile H. L. Aarts, Kees M. van Hee:
Global Convergence of Genetic Algorithms: A Markov Chain Analysis. 4-12 - David E. Goldberg:
The Theory of Virtual Alphabets. 13-22 - Jürgen Hesser, Reinhard Männer:
Towards an Optimal Mutation Probability for Genetic Algorithms. 23-32 - Jürgen Hesser, Reinhard Männer:
An Alternative Genetic Algorithm. 33-37 - 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
- Christian Blume:
GLEAM - A System for Simulated 'Intuitive Learning'. 48-54 - Alberto Colorni, Marco Dorigo, Vittorio Maniezzo
:
Genetic Algorithms and Highly Constrained Problems: The Time-Table Case. 55-59 - Yuval Davidor, Yaron Goldberg:
An Evolution Standing on the Design of Redundant Manipulators. 60-69 - Marleen Gerrits, Paulien Hogeweg:
Redundant Coding of an NP-Complete Problem Allows Effective Genetic Algorithm Search. 70-74 - Martin Hulin:
Circuit Partitioning with Genetic Algorithms Using a Coding Scheme to Preserve the Structure of a Circuit. 75-79 - Phil Husbands, Frank Mill, Stephen Warrington:
Genetic Algorithms, Production Plan Optimisation, and Scheduling. 80-84 - Timothy Johnson, Phil Husbands:
System Identification Using Genetic Algorithms. 85-89 - 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 - Jung-Yul Suh, Chan-Do Lee:
Operator-Oriented Genetic Algorithm and its Application to the Sliding Block Puzzle Problem. 98-103 - Dirk Thierens, Leo Vercauteren:
A Topology Exploiting Genetic Algorithm to Control Dynamic Systems. 104-108 - 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
- Hugo de Garis:
Genetic Programming: Artificial Nervous Systems, Artificial Embryos and Embryological Electronics. 117-123 - John R. Koza:
Concept Formation and Decision Tree Induction Using the Genetic Programming Paradigm. 124-128
Parallel Implementations of Genetic Algorithms
- Heinrich Braun:
On Solving Travelling Salesman Problems by Genetic Algorithms. 129-133 - James P. Cohoon, Worthy N. Martin, Dana S. Richards:
Genetic Algorithms and Punctuated Equilibria in VLSI. 134-144 - Terence C. Fogarty, Runhe Huang:
Implementing the Genetic Algorithm on Transputer Based Parallel Processing Systems. 145-149 - Martina Gorges-Schleuter:
Explicit Parallelism of Genetic Algorithms through Population Structures. 150-159 - Berthold Kröger, Peter Schwenderling, Oliver Vornberger:
Parallel Genetic Packing of Rectangles. 160-164 - Gregor von Laszewski, Heinz Mühlenbein:
Partitioning a Graph with a Parallel Genetic Algorithm. 165-169 - Peter Neuhaus:
Solving the Mapping Problem - Experiences with a Genetic Algorithm. 170-175 - Timothy Starkweather, L. Darrell Whitley, Keith E. Mathias:
Optimization Using Distributed Genetic Algorithms. 176-185
Evolution Strategies
Applications of Evolution Strategies
- Michael Herdy:
Application of the 'Evolutionsstrategie' to Discrete Optimization Problems. 188-192 - Frank Kursawe:
A Variant of Evolution Strategies for Vector Optimization. 193-197
Parallel Implementations of Evolution Strategies
- Reinhard Lohmann:
Application of Evolution Strategy in Parallel Populations. 198-208 - Günter Rudolph:
Global Optimization by Means of Distributed Evolution Strategies. 209-213
Simulated Annealing
Applications of Simulated Annealing
- Iaakov Exman:
Solving Sequential Games with Boltzmann-Learned Tactics. 216-220 - Karl-Heinz Hoffmann, Michael Christoph, Martin Hanf:
Optimizing Simulated Annealing. 221-225
Parallel Implementations of Simulated Annealing
- Ingo Kreuzer, Karl Goser:
A Local Timing Model for Parallel Optimization with Boltzmann Machines. 226-230 - Pierre Roussel-Ragot, Nadia Kouicem, Gérard Dreyfus:
Error-Free Parallel Implementation of Simulated Annealing. 231-241 - Richard L. Shoemaker, Harrison H. Barrett, R. H. Seacat III:
TRIMM: A Parallel Processor for Image Reconstruction by Simulated Annealing. 242-251
Neural Networks
- Alex M. Andrew:
The Response-Time Constraint in Neural Evolution. 254-258 - Robert J. Collins, David R. Jefferson:
An Artificial Neural Network Representation for Artificial Organisms. 259-263 - Selwyn Piramuthu:
Feature Construction for Back-Propagation. 264-268 - Ralf Salomon:
Improved Convergence Rate of Back-Propagation with Dynamic Adaptation of the Learning Rate. 269-273 - Wolfram Schiffmann, Merten Joost, Randolf Werner:
Performance Evaluation of Evolutionarily Created Neural Network Topologies. 274-283 - 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
- Peter J. B. Hancock, Leslie S. Smith:
GANNET: Genetic Design of a Neural Net for Face Recognition. 292-296 - Jochen Heistermann:
The Application of a Genetic Approach as an Algorithm for Neural Networks. 297-301 - Klaus-Uwe Höffgen, H. Peter Siemon, Alfred Ultsch:
Genetic Improvements of Feedforward Nets for Approximating Functions. 302-306 - Peter M. Todd, Geoffrey F. Miller:
Exploring Adaptive Agency III: Simulating the Evolution of Habituation and Sensitization. 307-313
Neural Networks and Evolution Strategies
- Michael Scholz:
A Learning Strategy for Neural Networks Based on a Modified Evolutionary Strategy. 314-318
Classifier Systems and Immune Networks
- Stephanie Forrest, Alan S. Perelson:
Genetic Algorithms and the Immune System. 320-325 - Bernard Manderick:
Selectionist Categorization. 326-330 - Andreas Schachtner:
A Classifier System with Integrated Genetic Operators. 331-337 - Manuel Valenzuela-Rendón:
The Fuzzy Classifier System: Motivations and first Results. 338-342 - Hugues Bersini, Francisco J. Varela:
Hints for Adaptive Problem Solving Gleaned from Immune Networks. 343-354
Parallel Implementations in General
- Jo Decuyper, Didier Keymeulen:
A Reactive Robot Navigation System Based on a Fluid Dynamics Metaphor. 356-362 - 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 - Hans-Michael Voigt, Joachim Born, Ivan Santibáñez-Koref:
Modelling and Simulation of Distributed Evolutionary Search Processes for Function Optimization. 373-380 - Maja J. Mataric:
Parallel, Decentralized Spatial Mapping for Robot Navigation and Path Planning. 381-386
Adaptation and Evolution in General
- Nobue Adachi, Kazuhiro Matsuo:
Ecological Dynamics under Different Selection Rules in Distributed and Iterated Prisoner's Dilemma Games. 388-394 - Stephen T. Barnard, Aviv Bergman:
Adaptation in Signal Spaces. 395-404 - Luis R. Lopez, H. John Caulfield:
A Principle of Minimum Complexity in Evolution. 405-409 - Jan Paredis:
The Emergence of Data Structures from Local Interactions. 410-414 - Jonathan Schull:
The View from the Adaptive Landscape. 415-427
Comparison of Problem Solving Strategies from Nature
- Thorsten Boseniuk, Werner Ebeling:
Boltzmann-, Darwin-, and Haeckel-Strategies in Optimization Problems. 430-444 - 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 - Frank Hoffmeister, Thomas Bäck:
Genetic Algorithms and Evolution Strategies - Similarities and Differences. 455-469
The Evening Lecture
- Peter Bock:
Building the Ultimate Machine: The Emergence of Artificial Cognition. 472-481
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