Results 1 to 10 of about 28,501 (148)
A Comprehensive Review on NSGA-II for Multi-Objective Combinatorial Optimization Problems
IEEE Access, 2021 This paper provides an extensive review of the popular multi-objective optimization algorithm NSGA-II for selected combinatorial optimization problems viz.
Shanu Verma +2 more
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A Multi-Objective DV-Hop Localization Algorithm Based on NSGA-II in Internet of Things
Mathematics, 2019 Locating node technology, as the most fundamental component of wireless sensor networks (WSNs) and internet of things (IoT), is a pivotal problem. Distance vector-hop technique (DV-Hop) is frequently used for location node estimation in WSN, but it has a
Penghong Wang, Fei Xue, Zhihua Cui
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An Improved NSGA-II and its Application for Reconfigurable Pixel Antenna Design [PDF]
Radioengineering, 2014 Based on the elitist non-dominated sorting genetic algorithm (NSGA-II) for multi-objective optimization problems, an improved scheme with self-adaptive crossover and mutation operators is proposed to obtain good optimization performance in this paper ...
Y. L. Li, W. Shao, J. T. Wang, H. Chen
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Optimization of rotor-side controller parameters in doubly fed induction generators based on an improved NSGA-II. [PDF]
PLoS ONEHerein, an advanced control strategy to enhance the operational stability of wind turbine generators during grid-voltage surges is presented. In particular, a multiobjective optimization framework based on an improved nondominated sorting genetic ...
Yanling Lv, Xiang Zhao, Zexin Mou
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IEEE Open Journal of the Communications Society, 2022 Optimum controller placement in the presence of several conflicting objectives has received significant attention in the Software-Defined Wide Area Network (SD-WAN) deployment.
Oladipupo Adekoya, Adel Aneiba
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PLoS ONE, 2021 In order to solve the problem of unbalanced workload of employees in parallel flow shop scheduling, a method of job standard balance is proposed to describe the work balance of employees. The minimum delay time of completion and the imbalance of employee
Zhengyu Hu +3 more
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Mathematics, 2023 Recently, many-objective optimization problems (MaOPs) have become a hot issue of interest in academia and industry, and many more many-objective evolutionary algorithms (MaOEAs) have been proposed.
Yingxin Zhang, Gaige Wang, Hongmei Wang
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Journal of Marine Science and Engineering, 2022 As maritime transportation develops, the pressure of port traffic increases. To improve the management of ports and the efficiency of their operations, vessel scheduling must be optimized.
Xing Jiang +5 more
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NSGA-II With Simple Modification Works Well on a Wide Variety of Many-Objective Problems
IEEE Access, 2020 In the last two decades, the non-dominated sorting genetic algorithm II (NSGA-II) has been the most widely-used evolutionary multi-objective optimization (EMO) algorithm.
Lie Meng Pang, Hisao Ishibuchi, Ke Shang
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IEEE Access, 2020 This paper develops an improved non dominated sorting genetic algorithm II (NSGA-II) based on objective importance vector γ, abbreviated as γ-NSGA-II. Different importance levels for the multiple objectives are incorporated in the objective
Lu Zhang +5 more
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