An efficient genetic algorithm for solving nonlinear optimization problems defined with fuzzy relational equations and max-Lukasiewicz composition-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

An efficient genetic algorithm for solving nonlinear optimization problems defined with fuzzy relational equations and max-Lukasiewicz composition

Published:2018-08 Issue: Volume:69 Page:475-492
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Ghodousian Amin^ORCID,Babalhavaeji Ali

Publisher

Elsevier BV

Subject

Software

Reference68 articles.

1. Linear optimization problem constrained by fuzzy max–min relation equations;Chang;Inf. Sci.,2013

2. Fuzzy relation equations (i): the general and specialized solving algorithms;Chen;Soft Comput.,2002

3. Fuzzy relation equations (ii): the branch-point-solutions and the categorized minimal solutions;Chen;Soft Comput.,2007

4. On the calculation of a membership function for the solution of a fuzzy linear optimization problem;Dempe;Fuzzy Sets Syst.,2012

5. Digital watermarking in coding/decoding processes with fuzzy relation equations;Di Martino;Soft Comput.,2006

Cited by 33 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. Tri-composed fuzzy relation inequality with weighted-max-min composition and the relevant min-max optimization problem;Fuzzy Sets and Systems;2024-08

2. Optimal symmetric interval solution of fuzzy relation inequality considering the stability in P2P educational information resources sharing system;Fuzzy Sets and Systems;2024-02

3. Solving linear optimization problems subject to bipolar fuzzy relational equalities defined with max-strict compositions;Information Sciences;2023-12

4. A non-linear generalization of optimization problems subjected to continuous max-t-norm fuzzy relational inequalities;Soft Computing;2023-11-20

5. A Comprehensive Review on RSM-Coupled Optimization Techniques and Its Applications;Archives of Computational Methods in Engineering;2023-06-23

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