Optimization of Multi-objective Transportation Problem Using Evolutionary Algorithms
نویسنده
چکیده
The Multi-objective transportation problem (MOTSP) is a of linear type optimization problem which contains all equality type constraints and the multi variable objectives. Here we have presented an application of Evolutionary Algorithms to the multi-objective transportation problem (MOTSP). We consider the multi-objective transportation problem as linear optimization problem and use a special type of Encoding method. The set of feasible solution of the multi-objective transportation problem (MOTSP) is encoding as Bipartite Graph and selected as the parent solution. The Evolutionary operates where applied to get an optimal compromise solution. This methodology is illustrated by a numerical example.
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