Titlebook: Exploration of Novel Intelligent Optimization Algorithms; 12th International S Kangshun Li,Yong Liu,Wenxiang Wang Conference proceedings 20

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羊欄

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Inertia

Hate Speech in den Massenmediencal location and other environmental factors, and the problem of low network coverage caused by the random deployment of sensor nodes, resulting in waste of resources. To improve network coverage. In this paper, an improved particle swarm optimization PSO (IPSO) is proposed, in which a linear decrea

箴言

Psychoanalysis, Nazism and ‘Jewish Science’image segmentation, clustering is an unsupervised learning method. Most clustering algorithms results are highly dependent on the initial cluster center and it is important to optimize the segmentation process. In this paper, we used an improved conical area evolutionary algorithm named CAEA-II for

詼諧

https://doi.org/10.1007/978-1-349-23038-9y-objective problems (MaOPs) of science and engineering. However, as the number of objectives increases gradually, the selection pressure of population towards true PF will reduce, resulting in high searching complexity and low solution quality. This literature proposes an efficient EMOA using high