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Titlebook: Advances in Swarm Intelligence; 9th International Co Ying Tan,Yuhui Shi,Qirong Tang Conference proceedings 2018 Springer International Publ

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51#
發(fā)表于 2025-3-30 11:02:32 | 只看該作者
Information-Centric Networking Routing Challenges and Bio/ACO-Inspired Solution: A Reviewion of content and mobility support. Then, the solutions inspired by biology feature and behavior is reviewed. In addition, a general design thought of ACO-inspired solution is presented. Finally, the feasibility of ACO-inspired ICN routing solution is evaluated.
52#
發(fā)表于 2025-3-30 14:57:58 | 只看該作者
53#
發(fā)表于 2025-3-30 16:45:48 | 只看該作者
54#
發(fā)表于 2025-3-31 00:24:51 | 只看該作者
Semi-Markov Model of a Swarm Functioningis shown, that ordinary semi-Markov processes with structural states are abstract analogue of units cyclograms. The method of gathering of ordinary semi-Markov processes into .-parallel process and further transformation of it into complex semi-Markov process with functional states is proposed. It i
55#
發(fā)表于 2025-3-31 01:02:22 | 只看該作者
56#
發(fā)表于 2025-3-31 07:41:07 | 只看該作者
57#
發(fā)表于 2025-3-31 09:50:10 | 只看該作者
58#
發(fā)表于 2025-3-31 15:59:54 | 只看該作者
On the Cooperation Between Evolutionary Algorithms and Constraint Handling Techniqueshe constrained optimization problems (COPs). To obtain competitive performance, an effective CHT needs to be in conjunction with an efficient EA. In the previous paper, how the Differential Evolution influence the relationship between problems and penalty parameters was studied. In this paper, furth
59#
發(fā)表于 2025-3-31 17:45:54 | 只看該作者
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