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Titlebook: Advances in Swarm Intelligence; 5th International Co Ying Tan,Yuhui Shi,Carlos A. Coello Coello Conference proceedings 2014 Springer Intern

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發(fā)表于 2025-3-25 05:13:30 | 只看該作者
High Performance Ant Colony Optimizer (HPACO) for Travelling Salesman Problem (TSP)on of unconventional algorithmic approaches based on natural computation. Ant Colony Optimization (ACO) technique is one of the popular unconventional optimization technique to solve this problem. In this paper, we propose High Performance Ant Colony Optimizer (HPACO) which modifies conventional ACO
22#
發(fā)表于 2025-3-25 08:21:54 | 只看該作者
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發(fā)表于 2025-3-25 15:01:27 | 只看該作者
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發(fā)表于 2025-3-25 19:11:18 | 只看該作者
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發(fā)表于 2025-3-25 21:27:43 | 只看該作者
26#
發(fā)表于 2025-3-26 01:52:25 | 只看該作者
Patrick R. McClintock,Abner Louis Notkinshe environment and performed real robot and simulation based experiments. We compared the performance of two proposed aggregation algorithms we called as the . and . with the state-of-the-art cue-based aggregation strategy BEECLUST. We showed that the proposed strategies outperform BEECLUST method.
27#
發(fā)表于 2025-3-26 06:35:01 | 只看該作者
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發(fā)表于 2025-3-26 11:27:34 | 只看該作者
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發(fā)表于 2025-3-26 14:09:16 | 只看該作者
30#
發(fā)表于 2025-3-26 17:34:14 | 只看該作者
James M. Hogle,M. Chow,David J. Filmanecial threat-evading behaviors and show incredible regularity in movement by coordinating with each other. In this paper, the actions of a small fish swarm evades a blacktip reef shark are taken as an example, we put forward the concept of predator threat-field and present a mathematical model to de
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