Paper Info
Title
Enhanced genetic algorithm-based fuzzy multiobjective strategy to multiproduct batch plant design
Abstract
This paper addresses the problem of the optimal design of batch plants with imprecise demands in product amounts. The design of such plants necessary involves how equipment may be utilized, which means that plant scheduling and production must constitute a basic part of the design problem. Rather than resorting to a traditional probabilistic approach for modeling the imprecision on product demands, this work proposes an alternative treatment by using fuzzy concepts. The design problem is tackled by introducing a new approach based on a multiobjective genetic algorithm, combined wit the fuzzy set theory for computing the objectives as fuzzy quantities. The problem takes into account simultaneous maximization of the fuzzy net present value NP@?V and of two other performance criteria, i.e. the production delay/advance and a flexibility index. The delay/advance objective is computed by comparing the fuzzy production time for the products to a given fuzzy time horizon, and the flexibility index represents the additional fuzzy production that the plant would be able to produce. The multiobjective optimization provides the Pareto's front which is a set of scenarios that are helpful for guiding the decision's maker in its final choices. About the solution procedure, a genetic algorithm was implemented since it is particularly well-suited to take into account the arithmetic of fuzzy numbers. Furthermore because a genetic algorithm is working on populations of potential solutions, this type of procedure is well adapted for multiobjective optimization.
Year
DOI
Venue
2009
10.1016/j.asoc.2009.05.005
Appl. Soft Comput.
Keywords
Field
DocType
fuzzy numbers,genetic algorithm,additional fuzzy production,fuzzy production time,design problem,net present value,genetic algorithms,multiobjective optimization,fuzzy quantity,batch plant design,genetic algorithm-based fuzzy multiobjective,plant design,fuzzy set theory,fuzzy number,production scheduling,imprecise demand,flexibility index,fuzzy concept,indexation,optimal design,new product development
Mathematical optimization,Defuzzification,Fuzzy set operations,Fuzzy logic,Fuzzy transportation,Fuzzy set,Multi-objective optimization,Fuzzy number,Genetic algorithm,Mathematics
Journal
Volume
Issue
ISSN
9
4
Applied Soft Computing Journal
Citations 
PageRank 
References 
7
0.58
10
Authors
4
Name
Order
Citations
PageRank
Alberto Aguilar-Lasserre1233.90
L. Pibouleau2366.79
C. Azzaro-Pantel3346.37
Serge Domenech4447.27