An Immunological Approach to Combinatorial Optimization Problems
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Management Science
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A fuzzy guided multi-objective evolutionary algorithm model for solving transportation problem
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HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part I
| Hi-index | 12.05 |
In the present day business environment, customer satisfaction is a pre-requisite for providing good service to the customer. The present day market is a customer driven market and only those who can fulfill customer demands at minimal rate and in shortest time can share a greater market share. Owing to the aforementioned factors, the problem of customers' allocation to the vendors is considered to be very important problem and has attracted the attention of a lot of researchers. In this paper, a multiple vendor transportation problem having a variety of products and multiple customers has been taken into consideration. The problem considers two criteria: transportation time and transportation cost, thus making it a multi-criteria problem. To solve this problem, a heuristic based on a new approach, called artificial immune system (AIS) has been proposed. To strengthen AIS, a fuzzy logic controller (FLC) has been incorporated in the AIS heuristic. FLC changes the hyper mutation rate adaptively at iteration. A benchmark problem from the prominent literature review has been taken for showing the efficacy of the proposed algorithm. The supremacy of the problem has been shown by the randomly generated data set with increased complicacy of the problems.