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Paper Information

Journal:   INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE (ENGLISH)   Fall 2003 , Volume 14 , Number 4; Page(s) 105 To 119.
 
Paper: 

A HYBRID FUZZY EXPERT SYSTEM AND GENETIC ALGORITHM APPROACH TO SOLVE 0-1 MULTI-ATTRIBUTE KNAPSACK PROBLEM

 
 
Author(s):  GHAZANFARI M., NOUJAVAN M.
 
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Abstract: 
This paper develops an approach to solve 0-1 multiple attribute knapsack problem (MAKP) in which some objectives are qualitative. The approach consists of two modules. The first module is a fuzzy expert system that evaluates the qualitative objectives. Acting as a framework, the second module generates the different combinations and finds the (near) optimal solution using a genetic algorithm model. The results of conducted experiments show the capability of proposed approach to deal with MAKP problems.
 
Keyword(s): 0-1 MULTI-OBJECTIVE KNAPSACK PROBLEM, QUALITATIVE OBJECTIVES, FUZZY RULE-BASED SYSTEM, GENETIC ALGORITH, MULTIPLE ATTRIBUTES DECISION MAKING (MADM)
 
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