This volume contains the best carefully revised full papers selected from the presentations accepted for the AI '93 and AI '94 Workshop on Evolutionary Computation held in Australia.
The 21 papers included cover a wide range of topics in the field of evolutionary computation, from constrained function optimization to combinatorial optimization, from evolutionary programming to genetic programming, from robotic strategy learning to co-evolutionary game strategy learning. The papers reflect important recent progress in the field; more than half of the papers come from overseas.
Author(s): Jack Y. B. Lee, P. C. Wong (auth.), Xin Yao (eds.)
Series: Lecture Notes in Computer Science 956 : Lecture Notes in Artificial Intelligence
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 1995
Language: English
Pages: 318
Tags: Artificial Intelligence (incl. Robotics); Numerical Analysis; Probability Theory and Stochastic Processes; Statistics, general; Operations Research/Decision Theory; Combinatorics
The effect of function noise on GP efficiency....Pages 1-16
Genetic approaches to learning recursive relations....Pages 17-27
An application of Genetic Programming to the 4-Op problem using map-trees....Pages 28-40
Direct replacement: A Genetic Algorithm without mutation which avoids deception....Pages 41-48
Competitive evolution: A natural approach to operator selection....Pages 49-60
Emergent collective computational abilities in interacting particle systems....Pages 61-72
A perspective on evolutionary computation....Pages 73-89
An experimental study of N-Person Iterated Prisoner's Dilemma games....Pages 90-108
A systolic architecture for high speed hypergraph partitioning using a genetic algorithm....Pages 109-126
Development of hybrid optimisation techniques based on genetic algorithms and simulated annealing....Pages 127-154
Development of parallel hybrid optimisation techniques based on genetic algorithms and simulated annealing....Pages 155-165
Genetic algorithms for cutting stock problems: With and without contiguity....Pages 166-186
GASBOR: A genetic algorithm for switchbox routing in integrated circuits....Pages 187-200
The calculus of self-modifiable algorithm based evolutionary computer network routing....Pages 201-224
Evolving robot strategy for open ended game....Pages 225-235
An evolutionary approach to adaptive model-building....Pages 236-244
Training neural networks with influence diagrams....Pages 245-256
A behavioural theory of intelligent machines as a framework for the analysis of adaptation....Pages 257-275
On evolving robust strategies for iterated prisoner's dilemma....Pages 276-292
Comparison of heuristic search algorithms for single machine scheduling problems....Pages 293-304
Encoding graphs for genetic algorithms: An investigation using the minimum spanning tree problem....Pages 305-314
