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首页> 外文期刊>IEEE transactions on systems, man and cybernetics. Part C, Applications and reviews >Grid Implementation of a Parallel Multiobjective Genetic Algorithm for Optimized Allocation of Chlorination Stations in Drinking Water Distribution Systems: Chojnice Case Study
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Grid Implementation of a Parallel Multiobjective Genetic Algorithm for Optimized Allocation of Chlorination Stations in Drinking Water Distribution Systems: Chojnice Case Study

机译：饮用水分配系统中加氯站优化分配的并行多目标遗传算法的网格实现：Chojnice案例研究

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摘要

Solving multiobjective optimization problems requires suitable algorithms to find a satisfactory approximation of a globally optimal Pareto front. Furthermore, it is a computationally demanding task. In this paper, the grid implementation of a distributed multiobjective genetic algorithm is presented. The distributed version of the algorithm is based on the island algorithm with forgetting island elitism used instead of a genetic data exchange. The algorithm is applied to the allocation of booster stations in a drinking water distribution system. First, a multiobjective formulation of the allocation problem is further enhanced in order to handle multiple water demand scenarios and to integrate controller design into the allocation problem formulation. Next, the new grid-based algorithm is applied to a case study system. The results are compared with a nondistributed version of the algorithm.
机译：解决多目标优化问题需要合适的算法来找到全局最优Pareto前沿的令人满意的近似值。此外，这是一项计算量很大的任务。本文提出了一种分布式多目标遗传算法的网格实现。该算法的分布式版本基于孤岛算法，该算法使用遗忘的岛屿精英代替了遗传数据交换。该算法应用于饮用水分配系统中增压站的分配。首先，分配问题的多目标表述得到进一步增强，以便处理多种需水情况并将控制器设计集成到分配问题表述中。接下来，将新的基于网格的算法应用于案例研究系统。将结果与算法的非分布式版本进行比较。

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