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New search strategy for multi-objective evolutionary algorithm [PDF]
HeliyonTo address the problem of low search efficiency of multi-objective evolutionary algorithm during iterations, we proposed a new idea which considering a single individual to generate better solutions in a single iteration as a starting point to improve ...
Liu Yuejun
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IET Generation, Transmission & Distribution, 2023 An Optimal power flow (OPF) is non‐linear and constrained multi‐objective problem. OPF problems are expensive and evolutionary algorithms (EAs) are computationally complex to obtain uniformly distributed and global Pareto front (PF).
Aamir Ali +5 more
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Matching Biomedical Ontologies through Adaptive Multi-Modal Multi-Objective Evolutionary Algorithm [PDF]
Biology, 2021 To integrate massive amounts of heterogeneous biomedical data in biomedical ontologies and to provide more options for clinical diagnosis, this work proposes an adaptive Multi-modal Multi-Objective Evolutionary Algorithm (aMMOEA) to match two ...
Xingsi Xue, Pei-Wei Tsai, Yucheng Zhuang
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Evolutionary Multi-Objective Membrane Algorithm [PDF]
IEEE Access, 2020 Recent advances in evolutionary algorithms based on membrane computing have shown that the mechanism of membrane computing is an effective way to solve optimization problems. In this work, we propose a new evolutionary multi-objective algorithm that uses
Chuang Liu +3 more
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Multi-objective multi-criteria evolutionary algorithm for multi-objective multi-task optimization
Complex & Intelligent Systems, 2022 Evolutionary multi-objective multi-task optimization is an emerging paradigm for solving multi-objective multi-task optimization problem (MO-MTOP) using evolutionary computation.
Ke-Jing Du +3 more
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Two-stage multi-objective evolutionary algorithm for overlapping community discovery [PDF]
PeerJ Computer ScienceAs one of the essential topological structures in complex networks, community structure has significant theoretical and application value and has attracted the attention of researchers in many fields.
Lei Cai, Jincheng Zhou, Dan Wang
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Energies, 2017 Due to the scarcity of conventional energy resources and the greenhouse effect, renewable energies have gained more attention. This paper proposes methods for multi-objective optimal design of hybrid renewable energy system (HRES) in both isolated-island
Mengjun Ming +3 more
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Decomposition Multi-Objective Multi-Task Evolutionary Algorithm with Adaptive Transfer [PDF]
Jisuanji gongcheng, 2023 Multi-objective multi-task evolutionary optimization is an important research direction for solving multiple related tasks simultaneously by sharing beneficial information across tasks.
Qianqian CAI, Xuhua SHI
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Hybrid selection based multi/many-objective evolutionary algorithm
Scientific Reports, 2022 In the last decade, numerous multi/many-objective evolutionary algorithms (MOEAs) have been proposed to handle multi/many-objective problems (MOPs) with challenges such as discontinuous Pareto Front (PF), degenerate PF, etc.
Saykat Dutta +2 more
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Evolutionary multi-objective network optimization algorithm in trajectory planning
Ain Shams Engineering Journal, 2021 Flight network optimization, one of the airspace planning challenges, effectively manages airspace resources toward increasing airspace capacity and reducing air traffic congestion.
Mostafa Borhani
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