Conference
A Genetic Algorithms Framework for Grey Non-Linear Programming Problems
Abstract
This paper discusses the solution of a particular case of grey nonlinear programming, the Grey Quadratic Programming (GQP), and introduces the Genetic Algorithms (GA) approach as a feasible method for solving GQP problems. A framework using Genetic Algorithm for Grey Quadratic Programming (GAGQP) framework is designed and constructed by generalizing the common components of the GQP solutions and encapsulating the basic GA operations. This …
Authors
Jin W; Chan CW; Tontiwachwuthikul P; Huang GH
Pagination
pp. 2187-2190
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
January 1, 2005
DOI
10.1109/ccece.2005.1557422
Name of conference
Canadian Conference on Electrical and Computer Engineering, 2005.