嬉戏 发表于 2025-3-21 17:14:10

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领先 发表于 2025-3-21 22:42:40

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极力证明 发表于 2025-3-22 03:44:41

A SI-Based Algorithm for Structural Damage Detection mathematically converted into a constrained optimization problem, which is then hopefully solved by a swarm intelligence (SI) based algorithm proposed in this paper. The performance of the proposed algorithm is experimentally evaluated by the measured data of four damage patterns of a building mode

abject 发表于 2025-3-22 07:01:49

A Quantum-inspired Bacterial Swarming Optimization Algorithm for Discrete Optimization Problemserial foraging optimization (BFO). The proposed QBSO algorithm applies the quantum computing theory to bacterial foraging optimization, and thus has the advantages of both quantum computing theory and bacterial foraging optimization. Also, we use the swarming pattern of birds in block introduced in

烦扰 发表于 2025-3-22 12:15:16

Swarm Intelligence in Cloud Environment-side network of cloud. Swarm intelligence has been adopted for enhancing performance of overall system network. Specific location at serverside of network is going to be selected by swarm intelligence for accessing desired elements. Flexibility, robustness and self-organization have been considered

hardheaded 发表于 2025-3-22 14:33:02

Swarm Intelligence Supported e-Remanufacturingn order to increase the efficiency of remanufacturing process. Swarm intelligence (SI), a relatively new bio-inspired family of methods, seeks inspiration in the behavior of swarms of insects or other animals. After applied in other fields with success, SI started to gather the interest of researche

单纯 发表于 2025-3-22 18:00:24

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致命 发表于 2025-3-22 23:38:16

Quantum-Behaved Particle Swarm Optimization Algorithm Based on Border Mutation and Chaos for Vehicleum-Behaved Particle Swarm Optimization algorithm(QPSO), when the algorithm is trapped in local optimum, chaotic search is used for the optimal particles to enhance the optimization ability of the algorithm, avoid getting into local optimum and premature convergence. To thosecross-border particles,mu

同位素 发表于 2025-3-23 04:28:01

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委派 发表于 2025-3-23 08:45:10

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查看完整版本: Titlebook: Advances in Swarm Intelligence; Third International Ying Tan,Yuhui Shi,Zhen Ji Conference proceedings 2012 Springer-Verlag Berlin Heidelbe