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From simulation experiments of the multi-objective optimization control of wastewater treatment process (WWTP), it can be found that the number of obtained Pareto solutions is less using the normal non-dominated sorting genetic algorithm-II (NSGA-II) sometimes. To achieve a satisfactory optimal performance, an improved NSGA-II algorithm based on differential evolution mechanism is proposed in this...
In order to solve the problem that the parameters of cloud model are difficult to get and the weight of performance index is difficult to obtain when adopt single objective optimization algorithm. A new design of cloud model controller based on multi-objective optimization is proposed. In the first stage, set the system overshoot, settling time, and ITAE index as the optimization objectives, then...
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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