Titlebook: Evolutionary Programming VII; 7th International Co V. W. Porto,N. Saravanan,A. E. Eiben Conference proceedings 1998 Springer-Verlag Berlin

表否定

Scaling up evolutionary programming algorithms,clear, however, whether the empirical results obtained from the low-dimensional problems still hold for high-dimensional cases. This paper investigates the behaviour of four different EP algorithms for large-scale problems, i.e., problems whose dimension ranges from 100 to 300. The four are classica

perimenopause

Short notes on the schema theorem and the building block hypothesis in genetic algorithms,ithms. One research topic of interest is the analysis of the role of crossover and recombination in genetic algorithms, especially since various papers come to different conclusions. The goals of this paper are to revisit some well-known concepts and to discuss some new aspects that might be helpful

模仿

A superior evolutionary algorithm for 3-SAT,ithms, an evolution strategy and an evolutionary algorithm adapting its own fitness function while running. The results show that the adaptive EA outperforms the other two approaches. The power of this EA originates from the adaptive mechanism, which is completely problem independent and generally a

附錄

Diatribe

MAUVE

Optimization of thinned phased arrays using evolutionary programming,stochastic search method, is proposed for optimizing thinned phased arrays with a large number of elements. Experiments are conducted to determine the efficiency of EP in terms of the reliability in producing acceptable solutions and the quality of the final solution. Antenna arrays with up to 200 e

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gusher

Learning to re-engineer semantic networks using cultural algorithms,ic form of evolutionary computation known as cultural algorithms to solve the problem of semantic network reformulation. The semantic network knowledge base is based on the KL-ONE knowledge representation model and contains all the relevant information about the automobile manufacturing process plan

臭名昭著

Integration of slicing methods into a Cultural Algorithm in order to assist in large-scale engineeracquire such knowledge within the area of Software Engineering to support the debugging, testing, maintenance and understanding of programs. Program slicing is the determination of the set of all the statements in a program that directly or indirectly affects the value of a variable occurrence. Gene

開(kāi)始發(fā)作

https://doi.org/10.1007/BFb0040753Evolution Strategies; Evolutionary Programming; Genetic Algorithms; Genetic Programming; algorithms; comp