求解二次分配问题的花卉授粉算法(FPA)

Derby Prayogo Samdean, H. Suprajitno, E. Winarko
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引用次数: 4

摘要

本文的目的是利用花授粉算法求解二次分配问题。二次分配问题讨论了以最小化总分配成本为目的的设施到地点的分配问题,其中每个设施只分配给一个地点,每个地点只由一个设施分配。花授粉算法是一种受花授粉过程启发的算法。该算法主要分为全局授粉和由切换概率控制的局部授粉两个步骤。该程序使用Java编程语言创建,并根据其大小分为小、中、大三种情况。计算过程中利用各种参数值得到每个数据的目标函数值。根据计算结果的规律,可以得出较高的算法最大迭代值有助于较好地解决该问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Flower Pollination Algorithm (FPA) to Solve Quadratic Assignment Problem (QAP)
The purpose of this paper is to solve Quadratic Assignment Problem using Flower Pollination Algorithm. Quadratic Assignment Problem discuss about assignment of facilities to locations in order to minimize the total assignment costs where each facility assigns only to one location and each location is assigned by only one facility. Flower pollination Algorithm is an algorithm inspired by the process of flower pollination. There are two main steps in this algorithm, global pollination and local pollination controlled by switch probability. The program was created using Java programming language and implemented into three cases based on its size: small, medium and large. The computation process obtained the objective function value for each data using various values of parameter. According to the pattern of the computational result, it can be concluded that a high value of maximum iteration of the algorithm can help to gain better solution for this problem.
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