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Hybrid genetic algorithms and line search method for industrial production planning with non-linear fitness function

Vasant, Pandian (2009) Hybrid genetic algorithms and line search method for industrial production planning with non-linear fitness function. Engineering Applications of Artificial Intelligence , 22 (4-5). pp. 767-777. ISSN 0952-1976

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Abstract

Many engineering,science,information technology and management optimization problems can be considered as non-linear programming real-world problems where all or some of the parameters and variables involved are uncertain in nature.These can only be quantified using intelligent computational techniques such as evolutionary computation and fuzzy logic.The main objective of this research paper is to solve non- linear fuzzy optimization problem where the technological coefficient in the constraints involved are fuzzy numbers,which was represented by logistic membership functions using the hybrid evolutionary optimization approach.To explore the applicability of the present study,a numerical example is considered to determine the production planning for the decision variables and profit of the company.

Item Type:Article
Impact Factor:1.397 (2008), 5-Year Impact Factor: 1.851
Subjects:T Technology > TS Manufactures
Departments / MOR / COE:Departments > Fundamental & Applied Sciences
ID Code:2038
Deposited By: Pandian Vasant
Deposited On:10 May 2010 10:50
Last Modified:19 Jan 2017 08:25

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