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检索条件"主题词=constraint-handling method"
5 条 记 录,以下是1-10 订阅
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An efficient evolutionary algorithm for engineering design problems
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SOFT COMPUTING 2019年 第15期23卷 6197-6213页
作者: Bilel, Najlawi Mohamed, Nejlaoui Zouhaier, Affi Lotfi, Romdhane Univ Monastir Mech Engn Lab Natl Sch Engineers Monastir Tunisia Amer Univ Sharjah Dept Mech Engn Sharjah U Arab Emirates
This study introduces a multi-objective version of the recently proposed colonial competitive algorithm (CCA) called multi-objective colonial competitive algorithm. In contrast to original CCA, which used the combinat... 详细信息
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An efficient multiobjective differential evolution algorithm for engineering design
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STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION 2009年 第2期38卷 137-157页
作者: Gong, Wenyin Cai, Zhihua Zhu, Li China Univ Geosci Sch Comp Sci Wuhan 430074 Peoples R China
Solving engineering design and resources optimization via multiobjective evolutionary algorithms (MOEAs) has attracted much attention in the last few years. In this paper, an efficient multiobjective differential evol... 详细信息
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Integrated Short-Haul Airline Crew Scheduling Using Multiobjective Optimization Genetic Algorithms
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IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS 2013年 第5期43卷 1077-1090页
作者: Chen, Chiu-Hung Liu, Tung-Kuan Chou, Jyh-Horng Kao Yuan Univ Dept Informat Technol Kaohsiung 82151 Taiwan Natl Kaohsiung First Univ Sci & Technol Dept Mech & Automat Engn Kaohsiung 824 Taiwan Natl Kaohsiung Univ Appl Sci Dept Elect Engn Kaohsiung 807 Taiwan Natl Kaohsiung First Univ Sci & Technol Inst Syst Informat & Control Kaohsiung 824 Taiwan
This paper proposes an evolutionary alternative to conventional two-phase planning methods for solving the integrated crew scheduling (ICS) problem. The approach models and formulates the ICS problem as a combinationa... 详细信息
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An Improved Differential Evolution for Constrained Multi-objective Optimization Problems  16
An Improved Differential Evolution for Constrained Multi-obj...
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16th International Conference on Computational Intelligence and Security (CIS)
作者: Song, Erping Li, Hecheng Wanma, Cuo Qinghai Normal Univ Sch Comp Sci & Technol Xining Peoples R China Qinghai Normal Univ Acad Plateau Sci & Sustainabil Sch Math & Stat Xining Peoples R China Qinghai Normal Univ Sch Math & Stat Xining Peoples R China
The constrained multi-objective optimization problems (CMOPs) is widely used in real-world applications and always hard to handle especially when the objective number becomes more or the constraints are too stringent.... 详细信息
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A Hybrid Algorithm Based on Bat-Inspired Algorithm and Differential Evolution for Constrained Optimization Problems
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INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE 2015年 第4期29卷 1559007-1559007页
作者: Pei, Shengyu Ouyang, Aijia Tong, Lang Guangxi Univ Finance & Econ Fangchenggang Coll Fangchenggang 538100 Peoples R China Changsha Nanfang Profess Coll Dept Aviat Serv Changsha 410208 Hunan Peoples R China Hunan Inst Traff Engn Dept Elect & Informat Engn Hengyang 421001 Hunan Peoples R China
How to solve constrained optimization problems (COPs) is a significant research issue and we combine the bat-inspired algorithm (BA) with differential evolution (DE) into a new hybrid algorithm called BA-DE for solvin... 详细信息
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