Comparison of artificial immune systems with the particle swarm optimization in job-shop scheduling problem

J. Zelenka, T. Kasanický
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引用次数: 9

Abstract

This article compares two approaches by jobshop scheduling problem (JSSP) in real manufacturing system. The first approach is based on mechanisms inspired by biological evolution and the immune system. The second stochastic optimization algorithm is based on social simulation models.
人工免疫系统与粒子群优化在作业车间调度中的比较
本文比较了实际制造系统中作业车间调度问题(JSSP)的两种方法。第一种方法是基于受生物进化和免疫系统启发的机制。第二种随机优化算法基于社会模拟模型。
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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