Incorporating ancestors' influence in genetic algorithms

Ghosh, Susmita ; Ghosh, Ashish ; Pal, Sankar K. (2003) Incorporating ancestors' influence in genetic algorithms Applied Intelligence, 18 (1). pp. 7-25. ISSN 0924-669X

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A new criterion of fitness evaluation for Genetic Algorithms is introduced where the fitness value of an individual is determined by considering its own fitness as well as those of its ancestors. Some guidelines for selecting the weighting coefficients for quantifying the importance to be given to the fitness of the individual and its ancestors are provided. This is done both heuristically and automatically under fixed and adaptive frameworks. The Schema Theorem corresponding to the proposed concept is derived. The effectiveness of this new methodology is demonstrated extensively on the problems of optimizing complex functions including a noisy one and selecting optimal neural network parameters.

Item Type:Article
Source:Copyright of this article belongs to Springer-Verlag.
Keywords:Evolutionary Computation; Neural Networks; Object Extraction; Optimization; Schema Analysis
ID Code:26134
Deposited On:06 Dec 2010 13:02
Last Modified:17 May 2016 09:28

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