Progress in Evolutionary Computation
Editat de Xin Yaoen Limba Engleză Paperback – 10 aug 1995
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.
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Specificații
ISBN-13: 9783540601548
ISBN-10: 3540601546
Pagini: 328
Ilustrații: X, 318 p.
Dimensiuni: 155 x 235 x 18 mm
Greutate: 0.5 kg
Ediția:1995
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3540601546
Pagini: 328
Ilustrații: X, 318 p.
Dimensiuni: 155 x 235 x 18 mm
Greutate: 0.5 kg
Ediția:1995
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
The effect of function noise on GP efficiency.- Genetic approaches to learning recursive relations.- An application of Genetic Programming to the 4-Op problem using map-trees.- Direct replacement: A Genetic Algorithm without mutation which avoids deception.- Competitive evolution: A natural approach to operator selection.- Emergent collective computational abilities in interacting particle systems.- A perspective on evolutionary computation.- An experimental study of N-Person Iterated Prisoner's Dilemma games.- A systolic architecture for high speed hypergraph partitioning using a genetic algorithm.- Development of hybrid optimisation techniques based on genetic algorithms and simulated annealing.- Development of parallel hybrid optimisation techniques based on genetic algorithms and simulated annealing.- Genetic algorithms for cutting stock problems: With and without contiguity.- GASBOR: A genetic algorithm for switchbox routing in integrated circuits.- The calculus of self-modifiable algorithm based evolutionary computer network routing.- Evolving robot strategy for open ended game.- An evolutionary approach to adaptive model-building.- Training neural networks with influence diagrams.- A behavioural theory of intelligent machines as a framework for the analysis of adaptation.- On evolving robust strategies for iterated prisoner's dilemma.- Comparison of heuristic search algorithms for single machine scheduling problems.- Encoding graphs for genetic algorithms: An investigation using the minimum spanning tree problem.