Random Niched Pareto Genetic Algorithm for Solving Multi-objective Optimization Problem

Computer Engineering and Applications ›› 2007, Vol. 43 ›› Issue (9): 81-83.

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Random Niched Pareto Genetic Algorithm for Solving Multi-objective Optimization Problem

XiuJuan Lei

Received:2006-09-14 Revised:1900-01-01 Online:2007-03-21 Published:2007-03-21
Contact: XiuJuan Lei

随机小生境遗传算法求解多目标优化问题

雷秀娟史忠科王来军

西北工业大学自动化学院

通讯作者: 雷秀娟

Abstract

Abstract: This paper puts forward an improving economic multi-objective optimization model for area economic development of the county in Guangdong province, and brings forward RNPGA (Random Niched Pareto Genetic Algorithm) to actual system. Moreover calculate and simulate on the model through programming. Simulating result shows the validity and advancing of this method.

Key words: Genetic Algorithms, Multi-objective Optimization, Pareto, Economic Decision Support

摘要： 本文针对广东省某县区域经济发展的现状，提出了改进的经济多目标优化模型。针对实际系统提出了随机小生境Pareto遗传算法(RNPGA)，并编程来对模型进行计算与仿真。仿真结果表明了此方法的有效性与先进性。

关键词: 遗传算法, 多目标优化, Pareto, 经济决策

XiuJuan Lei . Random Niched Pareto Genetic Algorithm for Solving Multi-objective Optimization Problem[J]. Computer Engineering and Applications, 2007, 43(9): 81-83.

雷秀娟史忠科王来军. 随机小生境遗传算法求解多目标优化问题[J]. 计算机工程与应用, 2007, 43(9): 81-83.

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Random Niched Pareto Genetic Algorithm for Solving Multi-objective Optimization Problem

随机小生境遗传算法求解多目标优化问题

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