dc.contributor.author Long, Q. dc.contributor.author Wu, Changzhi dc.date.accessioned 2017-01-30T15:25:01Z dc.date.available 2017-01-30T15:25:01Z dc.date.created 2014-09-29T20:00:20Z dc.date.issued 2014 dc.identifier.citation Long, Q. and Wu, C. 2014. A Hybrid Method Combining Genetic Algorithm and Hooke-Jeeves Method for Constrained Global Optimization. Journal of Industrial and management optimization. 10 (4): pp. 1279-1296. dc.identifier.uri http://hdl.handle.net/20.500.11937/46063 dc.identifier.doi 10.3934/jimo.2014.10.1279 dc.description.abstract A new global optimization method combining genetic algorithm and Hooke-Jeeves method to solve a class of constrained optimization problems is studied in this paper. We first introduce the quadratic penalty function method and the exact penalty function method to transform the original constrained optimization problem with general equality and inequality constraints into a sequence of optimization problems only with box constraints. Then, the combination of genetic algorithm and Hooke-Jeeves method is applied to solve the transformed optimization problems. Since Hooke-Jeeves method is good at local search, our proposed method dramatically improves the accuracy and convergence rate of genetic algorithm. In view of the derivative-free of Hooke-Jeeves method, our method only requires information of objective function value which not only can overcome the computational difficulties caused by the ill-condition of the square penalty function, but also can handle the non-differentiability by the exact penalty function. Some well-known test problems are investigated. The numerical results show that our proposed method is efficient and robust. dc.publisher American Institute of Mathematical Sciences dc.subject constrained global optimization dc.subject penalty fuction method dc.subject Hybrid method dc.subject genetic algorithm dc.subject Hooke-Jeeves method dc.title A Hybrid Method Combining Genetic Algorithm and Hooke-Jeeves Method for Constrained Global Optimization dc.type Journal Article dcterms.source.volume 10 dcterms.source.number 4 dcterms.source.startPage 1279 dcterms.source.endPage 1296 dcterms.source.issn 1547-5816 dcterms.source.title Journal of Industrial and management optimization curtin.department Department of Construction Management curtin.accessStatus Open access via publisher
﻿