Title :
Modelling the behaviour of the genetic algorithm
Author :
White, M.S. ; Flockton, S.J.
Author_Institution :
London Univ., UK
Abstract :
This paper presents an overview of the theoretical foundations of the genetic algorithm. It aims to provide those interested in applying GAs to real-world problems with a feel for the techniques that can be employed to analyze and control genetic-based optimizers and control systems. In addition to a review of schema, Walsh-function and statistical mechanics-based methods the paper introduces a model of selection based on statistics of the population fitness distribution
Keywords :
genetic algorithms; GAs; Walsh-function methods; genetic algorithm; genetic-based control systems; genetic-based optimizers; population fitness distribution; real-world problems; statistical mechanics-based methods; theoretical foundations;
Conference_Titel :
Genetic Algorithms in Engineering Systems: Innovations and Applications, 1995. GALESIA. First International Conference on (Conf. Publ. No. 414)
Conference_Location :
Sheffield
Print_ISBN :
0-85296-650-4
DOI :
10.1049/cp:19951074
