Genetic Forma Recombination in Permutation Flowshop Problems

Author:

Cotta Carlos1,Troya José M.2

Affiliation:

1. Departamento de Lenguajes y Ciencias de la Computación E.T.S.I. Informática Universidad de Málaga Complejo Politécnico (2.2.A.6) Campus de Teatinos 29071 -Málaga, Spain

2. Departamento de Lenguajes y Ciencias de la Computación E.T.S.I. Informática Universidad de Málaga Complejo Politécnico (2.2.A. 13) Campus de Teatinos 29071-Málaga, Spain

Abstract

This paper analyzes different representations for permutation flowshop problems. This is done using forma analysis to assess the quality of these representations with respect to makespan optimization. Classical recombination operators are studied and empirically evaluated in this context. It is shown that the best operators work on representations in which absolute positions of tasks are relevant. Subsequently, some new operators operating on these representations are proposed. These new operators are designed to exhibit specific properties regarding implicit mutation and forma transmission. Their performance is shown to be competitive with traditional operators.

Publisher

MIT Press - Journals

Subject

Computational Mathematics

Cited by 32 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Memetic Algorithm with Parallel Local Search for Flowshop Scheduling Problems;Lecture Notes in Computer Science;2020

2. On complexity of optimal recombination for flowshop scheduling problems;Journal of Applied and Industrial Mathematics;2016-04

3. Optimal recombination in genetic algorithms for flowshop scheduling problems;AIP Conference Proceedings;2016

4. Experimental Evaluation of Two Approaches to Optimal Recombination for Permutation Problems;Evolutionary Computation in Combinatorial Optimization;2016

5. Memetic and Hybrid Evolutionary Algorithms;Springer Handbook of Computational Intelligence;2015

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3