A Decomposition-Based Many-Objective Artificial Bee Colony Algorithm

In this paper, a decomposition-based artificial bee colony (ABC) algorithm is proposed to handle many-objective optimization problems (MaOPs). In the proposed algorithm, an MaOP is converted into a number of subproblems which are simultaneously optimized by a modified ABC algorithm. The hybrid of th...

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Veröffentlicht in:	IEEE transactions on cybernetics 2019-01, Vol.49 (1), p.287-300
Hauptverfasser:	Xiang, Yi, Zhou, Yuren, Tang, Langping, Chen, Zefeng
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithm design and analysis Algorithms Artificial bee colony (ABC) algorithm Convergence Decomposition decomposition strategy dynamic resource allocation Evolutionary algorithms Evolutionary computation Heuristic algorithms many-objective optimization Multiple objective analysis Optimization Rank tests Search algorithms Sociology State of the art Sun Swarm intelligence Weight
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