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检索条件"主题词=Multi-objective evolutionary optimization algorithm"
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multi-objective optimization algorithm for Grouping Decision Variables Based on Extreme Point Pareto Frontier
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Computers, Materials & Continua 2024年 第4期79卷 1281-1299页
作者: JunWang Linxi Zhang Hao Zhang Funan Peng Mohammed A.El-Meligy Mohamed Sharaf Qiang Fu College of Computer Science and Technology Shenyang University of Chemical TechnologyShenyang110142China Key Laboratory of Intelligent Technology for Chemical Process Industry of Liaoning Province Shenyang University of Chemical TechnologyShenyang110142China Industrial Engineering Department College of EngineeringKing Saud UniversityP.O.Box 800Riyadh11421Saudi Arabia
The existing algorithms for solving multi-objective optimization problems fall into three main categories:Decomposition-based,dominance-based,and *** multi-objective optimization problemsmainly focus on objectives,tre... 详细信息
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multi-objective Differential Evolution based on the Summation of Normalized objectives and Improved Selection Method
Multi-Objective Differential Evolution based on the Summatio...
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IEEE Symposium on Differential Evolution (SDE)
作者: Qu, B. Y. Suganthan, P. N. Nanyang Technol Univ Sch Elect & Elect Engn Singapore Singapore
In this paper, an improved selection method is proposed and integrated with summation of normalized objectives based multi-objective differential evolution to solve multi-objective optimization problems. The summation... 详细信息
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multi-objective evolutionary algorithms based on the summation of normalized objectives and diversified selection
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INFORMATION SCIENCES 2010年 第17期180卷 3170-3181页
作者: Qu, B. Y. Suganthan, P. N. Nanyang Technol Univ Sch Elect & Elect Engn Singapore 639798 Singapore
Most multi-objective evolutionary algorithms (MOEAs) use the concept of dominance in the search process to select the top solutions as parents in an elitist manner. However, as MOEAs are probabilistic search methods, ... 详细信息
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