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Bibliographic record number: 16055


Authors: Jakobović, Domagoj; Golub, Marin
Title: Adaptive Genetic Algorithm
( Adaptive Genetic Algorithm )
Source: Proceedings of the 20th International Conference on Information Technology Interfaces / Kalpić, Damir ; Hljuz Dobrić, Vesna (ed). - Pula : SRCE University Computing Centre , 1998. 519-524.
Meeting: 20th Int. Conf. on Information Technology Interfaces, ITI '98
Location and date: Pula, Hrvatska, 16-19.06.1998.
Keywords: genetic algorithm; local and global optima; adaptive genetic operators
( genetic algorithm; local and global optima; adaptive genetic operators )
In this paper we introduce an adaptive, 'self-contained' genetic algorithm (GA) with steady-state selection. This variant of GA utilizes empirically based methods for calculating its control parameters. The adaptive algorithm estimates the percent of the population to be replaced with new individuals (generation gap). It chooses the solutions for crossover and varies the number of mutations, all regarding the current population state. The state of the population is evaluated by observing some of its characteristic values, such as the best and worst individual's cost function (fitness) values, the population average etc. Furthermore, a non-uniform mutation operator is introduced, which increases the algorithm's efficiency. Adaptive method does not, however, restrict the applicability in any way. The described GA is applied to optimization of several multimodal functions with various degrees of complexity, employed earlier for comparative studies. Some deceptive problems were also taken into consideration, and a comparison between the adaptive and standard genetic algorithm has been made.
Type of meeting: Predavanje
Type of presentation in a journal: Full-text (1500 words and more)
Type of peer-review: International peer-review
Project / theme: 036014
Original language: eng
Category: Znanstveni
Research fields:
Computer science
Full paper text:

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