A genetic algorithm with repair and local search mechanisms able to find minimal length addition chains for small exponents

Luis G. Osorio-Hernández, Efrén Mezura-Montes, Nareli Cruz-Cortés, Francisco Rodríguez-Henríquez

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

21 Scopus citations

Abstract

In this paper, we present an improved Genetic Algorithm (GA) that is able to find the shortest addition chains for a given exponent e. Two new variation operators (special two-point crossover and a local-search-like mutation) are proposed as a means to improve the GA search capabilities. Furthermore, the usage of an improved repair mechanism is applied to the process of generating the initial population of the algorithm. The proposed approach is compared on a set of test problems with two state-of-the-art evolutionary heuristic-based approaches recently published. Finally, the modified GA is used to find the optimal addition chain length for a small collection of "hard" exponents. The results obtained are competitive and even better in the more difficult instances of the exponentiation problem that were considered here.

Original languageEnglish
Title of host publication2009 IEEE Congress on Evolutionary Computation, CEC 2009
Pages1422-1429
Number of pages8
DOIs
StatePublished - 2009
Event2009 IEEE Congress on Evolutionary Computation, CEC 2009 - Trondheim, Norway
Duration: 18 May 200921 May 2009

Publication series

Name2009 IEEE Congress on Evolutionary Computation, CEC 2009

Conference

Conference2009 IEEE Congress on Evolutionary Computation, CEC 2009
Country/TerritoryNorway
CityTrondheim
Period18/05/0921/05/09

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