This volume is based on the Workshop on Evolutionary Computing held in Sheffield, U.K., in April 1995 under the sponsorship of the Society for the Study of Artificial Intelligence and Simulation of Behavior (AISB).
The 18 full papers presented were selected during a post-workshop refereeing meeting and chosen from 32 submissions for the workshop.
The papers are organized in sections on evolutionary computing theory and techniques, timetabling, routing and scheduling, optimization, signal processing and control, and genetic programming. The collection of papers has a certain bias towards real world applications of evolutionary computing and particularly genetic algorithms.
Author(s): Dave Corne, Peter Ross (auth.), Terence C. Fogarty (eds.)
Series: Lecture Notes in Computer Science 993
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 1995
Language: English
Pages: 272
Tags: Computation by Abstract Devices; Algorithm Analysis and Problem Complexity; Artificial Intelligence (incl. Robotics); Pattern Recognition; Computer Appl. in Life Sciences; Mathematical Biology in General
Some combinatorial landscapes on which a Genetic Algorithm outperforms other Stochastic iterative methods....Pages 1-13
Maximum entropy analysis of genetic algorithm operators....Pages 14-24
The ant colony metaphor for searching continuous design spaces....Pages 25-39
Broadcast based fitness sharing GA for conflict resolution among autonomous robots....Pages 40-47
An adaptive poly-parental recombination strategy....Pages 48-61
Neighbourhood seeding to reduce problem modality....Pages 62-74
Specialised recombinative operators for timetabling problems....Pages 75-85
The use of local search suggestion lists for improving the solution of timetable problems with evolutionary algorithms....Pages 86-93
Comparing genetic algorithms, simulated annealing, and stochastic hillclimbing on timetabling problems....Pages 94-102
Evolutionary learning in computational ecologies: An application to adaptive distributed routing in communication networks....Pages 103-116
The radio link frequency assignment problem: A case study using genetic algorithms....Pages 117-131
Scheduling planned maintenance of the national grid....Pages 132-153
Genetic operators and constraint handling for pipe network optimization....Pages 154-165
A multi-objective approach to constrained optimisation of gas supply networks: The COMOGA method....Pages 166-180
Ternary decision diagram optimisation of Reed-Muller logic functions using a genetic algorithm for variable and simplification rule ordering....Pages 181-190
An evolutionary algorithm for parametric array signal processing....Pages 191-199
Constraints on task and search complexity in GA+NN models of learning and adaptive behaviour....Pages 200-223
Load balancing application of the genetic algorithm in a nonstationary environment....Pages 224-233
Exploring some commercial applications of genetic programming....Pages 234-264
