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The fuzzy rule-based genetic algorithm (fuzzy-MOGA) is proposed in the paper to solve the problem of multi-objective optimization. The original chromosomes are generated with heuristic information. The Pareto optimal solutions are built by the arena's principle on the partial order set, so that it is easy to search the non-convex solution and it dos not need to determine weight value any more, which...
The spanning tree-based genetic algorithm (ST-GA) is an effective method to solve the multi-objective transportation optimization problem. The performance of this algorithm is definitely superior to the typical matrix-based GA. A new fuzzy-GA is proposed in this paper. At first, it adopts the Pareto method, so that the problem that the non-convex solutions are difficult to be found through common...
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