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

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書目名稱Advances in Swarm Intelligence影響因子(影響力)




書目名稱Advances in Swarm Intelligence影響因子(影響力)學(xué)科排名




書目名稱Advances in Swarm Intelligence網(wǎng)絡(luò)公開度




書目名稱Advances in Swarm Intelligence網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Advances in Swarm Intelligence被引頻次




書目名稱Advances in Swarm Intelligence被引頻次學(xué)科排名




書目名稱Advances in Swarm Intelligence年度引用




書目名稱Advances in Swarm Intelligence年度引用學(xué)科排名




書目名稱Advances in Swarm Intelligence讀者反饋




書目名稱Advances in Swarm Intelligence讀者反饋學(xué)科排名

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極力證明

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

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

煩擾

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

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

單純

致命

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

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