Feed Formula Optimization Method Based on Multi-Objective Particle Swarm Optimization Algorithm

Ji-xin Zhang, Gao-ping Wang
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引用次数: 3

Abstract

In this paper, we set a multi-objective mathematical model for feed formula optimal problem, propose a new MOPSO-based feed formula optimal method. A global selection method of particle and a dominance-principle are presented. Simulation results show that the new algorithm can give us more satisfactory results and a set of solution. A new method for solving complicated problem about feed formula optimization is provided.
基于多目标粒子群算法的饲料配方优化方法
本文建立了饲料配方优化问题的多目标数学模型,提出了一种新的基于mopso的饲料配方优化方法。提出了粒子的全局选择方法和优势原则。仿真结果表明,新算法能给出较为满意的结果和一组解。为解决复杂的饲料配方优化问题提供了一种新的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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