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检索条件"主题词=Dynamic multi-objective optimization problems"
10 条 记 录,以下是1-10 订阅
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An efficient spread-based evolutionary algorithm for solving dynamic multi-objective optimization problems
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JOURNAL OF COMBINATORIAL optimization 2022年 第1期44卷 794-849页
作者: Falahiazar, Alireza Sharifi, Arash Seydi, Vahid Islamic Azad Univ Dept Comp Engn Sci & Res Branch Tehran Iran Islamic Azad Univ Dept Comp Engn South Tehran Branch Tehran Iran
dynamic multi-objective optimization algorithms are used as powerful methods for solving many problems worldwide. Diversity, convergence, and adaptation to environment changes are three of the most important factors t... 详细信息
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A Memory-Based NSGA-II Algorithm for dynamic multi-objective optimization problems  19th
A Memory-Based NSGA-II Algorithm for Dynamic Multi-objective...
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19th European Conference on the Applications of Evolutionary Computation (EvoApplications)
作者: Sahmoud, Shaaban Topcuoglu, Haluk Rahmi Marmara Univ Dept Comp Engn TR-34722 Istanbul Turkey
dynamic multi-objective optimization problems (DMOPs) have been rapidly attracting the interest of the research community. Although static multi-objective evolutionary algorithms have been adapted for solving the DMOP... 详细信息
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Solving dynamic multi-objective optimization problems via Support Vector Machine  10
Solving Dynamic Multi-objective Optimization Problems via Su...
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10th International Conference on Advanced Computational Intelligence (ICACI)
作者: Jiang, Min Hu, Weizhen Qiu, Liming Shi, Minghui Tan, Kay Chen Xiamen Univ Dept Cognit Sci & Technol Xiamen Peoples R China City Univ Hong Kong Dept Comp Sci Hong Kong Peoples R China
dynamic multi-objective optimization problems (DMOPs) refer to optimization problems that objective functions will change with time. Solving DMOPs implies that the Pareto Optimal Set (POS) at different moments can be ... 详细信息
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Solving dynamic multi-objective optimization problems Using Incremental Support Vector Machine
Solving Dynamic Multi-objective Optimization Problems Using ...
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IEEE Congress on Evolutionary Computation (IEEE CEC)
作者: Hu, Weizhen Jiang, Min Gao, Xing Tan, Kay Chen Cheung, Yiu-ming Xiamen Univ Dept Cognit Sci Xiamen 361005 Fujian Peoples R China Xiamen Univ Software Sch Xiamen Fujian Peoples R China City Univ Hong Kong Dept Comp Sci Hong Kong Peoples R China Hong Kong Baptist Univ Dept Comp Sci Hong Kong Peoples R China
The main feature of the dynamic multi-objective optimization problems (DMOPs) is that optimization objective functions will change with times or environments. One of the promising approaches for solving the DMOPs is r... 详细信息
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Cellular teaching-learning-based optimization approach for dynamic multi-objective problems
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KNOWLEDGE-BASED SYSTEMS 2018年 141卷 148-177页
作者: Birashk, Amin Kordestani, Javidan Kazemi Meybodi, Mohammad Reza Islamic Azad Univ Sci & Res Branch Dept Comp Engn Tehran Iran Amirkabir Univ Technol Tehran Polytech Comp Engn & Informat Technol Dept Soft Comp Lab 424 Hafez Ave Tehran Iran
Many real-world optimization problems involve several conflicting objectives that must be optimized simultaneously. Furthermore, most optimization problems have a dynamic structure and change over time. In addition to... 详细信息
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An acceleration-based prediction strategy for dynamic multi-objective optimization
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SOFT COMPUTING 2024年 第2期28卷 1215-1228页
作者: Zhang, Junxi Qu, Shiru Zhang, Zhiteng Cheng, Shaokang Li, Mingxing Bi, Yang Northwestern Polytech Univ Sch Automat Youyi West Rd 127 Xian 710072 Shaanxi Peoples R China Xian Aeronaut Univ Sch Elect Engn West Ring Rd 259 Xian 710077 Shaanxi Peoples R China
This paper addresses the problem of dynamic multi- objective optimization problems (DMOPs), by demonstrating new approaches to change detection and change prediction in an evolutionary algorithm framework. Because the... 详细信息
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dynamic multi-objective evolutionary algorithms in noisy environments
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INFORMATION SCIENCES 2023年 第1期634卷 650-664页
作者: Sahmoud, Shaaban Topcuoglu, Haluk Rahmi Fatih Sultan Mehmet Vakif Univ Comp Engn Dept Istanbul Turkiye Marmara Univ Fac Engn Comp Engn Dept Istanbul Turkiye
Real-world multi-objective optimization problems encounter different types of uncertainty that may affect the quality of solutions. One common type is the stochastic noise that contaminates the objective functions. An... 详细信息
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Solving dynamic Many-objective TSP using NSGA-III equipped with SVR-RBF Kernel Predictor
Solving Dynamic Many-objective TSP using NSGA-III equipped w...
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IEEE Congress on Evolutionary Computation (IEEE CEC)
作者: Gupta, Rashi Nanda, Satyasai Jagannath Malaviya Natl Inst Technol Dept Elect & Commun Engn Jaipur 302017 Rajasthan India
dynamic multi-objective TSP (DMTSP) finds extensive applications in scheduling and routing problems. The task is challenging due to the change in problem environment (arrangement and number of cities) after certain ti... 详细信息
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A Type Detection Based dynamic multi-objective Evolutionary Algorithm  21st
A Type Detection Based Dynamic Multi-objective Evolutionary ...
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21st International Conference on the Applications of Evolutionary Computation (EvoApplications)
作者: Sahmoud, Shaaban Topcuoglu, Haluk Rahmi Marmara Univ Comp Engn Dept TR-34722 Istanbul Turkey
Characterization of dynamism is an important issue for utilizing or tailoring of several dynamic multi-objective evolutionary algorithms (DMOEAs). One such characterization is the change detection, which is based on p... 详细信息
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Exploiting characterization of dynamism for enhancing dynamic multi-objective evolutionary algorithms
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APPLIED SOFT COMPUTING 2019年 85卷 105783-000页
作者: Sahmoud, Shaaban Topcuoglu, Haluk Rahmi Marmara Univ Fac Engn Comp Engn Dept TR-34722 Istanbul Turkey
Characterization of dynamism is an essential phase for some of the dynamic multi-objective evolutionary algorithms (DMOEAs) in order to improve their performance. Although frequency of change and severity of change ar... 详细信息
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