Jan 12, 2021 · In this paper, a modified BSOOS algorithm is proposed to enhance the robustness and search accuracy. Three modified strategies in the solution ...
The evolutionary game theory aims to simulate different decision strategies in populations of individuals and to determine how the population evolves.
Jan 12, 2021 · Abstract. The evolutionary game theory aims to simulate different decision strategies in populations of individuals and to determine.
Brain storm optimization algorithm for solving knowledge spillover problems. Cheng, Shi; Zhang, Mingming; Ma, Lianbo; Lu, Hui; Wang, Rui ; et al. Cheng, Shi ...
Brain storm optimization algorithm for solving knowledge spillover problems ; Journal: Neural Computing and Applications, 2021, № 17, p. 12247-12260 ; Publisher: ...
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... Brain storm optimization algorithm for solving knowledge spillover problems | The evolutionary game theory aims to simulate different decision strategies in ...
Brain storm optimization algorithm for solving knowledge spillover problems ... Part of 1 collection: Special Issue on New Trends of Neural Computing for Advanced ...
A multi-objective Q-learning-based brain storm optimization (MQBSO) is designed to handle the addressed problem. In MQBSO, a double-string representation ...
Findings from Shaanxi Normal University Update Knowledge of Neural Computation (Brain Storm Optimization Algorithm for Solving Knowledge Spillover Problems) ...
