Progress in Evolutionary Computation, Vol. 956
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...
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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.
The effect of function noise on GP efficiency1Genetic approaches to learning recursive relations17An application of genetic programming to the 4-OP problem using map-trees28Direct replacement: a genetic algorithm without mutation which avoids deception41Competitive evolution: a natural approach to operator selection49Emergent collective computational abilities in interacting particle systems61A perspective on evolutionary computation73An experimental study of N-person iterated prisoner's dilemma games90A systolic architecture for high speed hypergraph partitioning using genetic algorithms109Development of hybrid optimisation techniques based on genetic algorithms and simulated annealing127Development of parallel hybrid optimisation techniques based on genetic algorithms and simulated annealing155Genetic algorithms for cutting stock problems: with and without contiguity166GASBOR: A genetic algorithm for switchbox routing in integrated circuits187The calculus of self-modifiable algorithm based evolutionary computer network routing201Evolving robot strategy for open ended game225An evolutionary approach to adaptive model-building236Training neural networks with influence diagrams245A behavioural theory of intelligent machines as a framework for the analysis of adaptation257On evolving robust strategies for iterated prisoner's dilemma276Comparison of heuristic search algorithms for single machine scheduling problems293Encoding graphs for genetic algorithms: an investigation using the minimum spanning tree problem305
