Titlebook: Advances in Swarm and Computational Intelligence; 6th International Co Ying Tan,Yuhui Shi,Andries Engelbrecht Conference proceedings 2015 S

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书目名称Advances in Swarm and Computational Intelligence影响因子(影响力)




书目名称Advances in Swarm and Computational Intelligence影响因子(影响力)学科排名




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书目名称Advances in Swarm and Computational Intelligence网络公开度学科排名




书目名称Advances in Swarm and Computational Intelligence被引频次




书目名称Advances in Swarm and Computational Intelligence被引频次学科排名




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书目名称Advances in Swarm and Computational Intelligence年度引用学科排名




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书目名称Advances in Swarm and Computational Intelligence读者反馈学科排名

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0302-9743 9142, constitute the proceedings of the 6th International Conference on Swarm Intelligence, ICSI 2015 held in conjunction with the Second BRICS Congress on Computational Intelligence, CCI 2015, held in Beijing, China in June 2015. The 161 revised full papers presented were carefully reviewed and se

Corporeal

STALE

construct

The Effective Neural Network Implementation of the Secret Sharing Scheme with the Use of Matrix Proj the modified secret sharing scheme based on a matrix projection with use of the neural network of a finite ring for execution of modular arithmetical addition and multiplication operations in a finite field allows to save on average 30% of the device area and increases the speed of scheme’s work on average by 17%.

狂热文化

A Randomized Multi-start Genetic Algorithm for the One-Commodity Pickup-and-Delivery Traveling Saleskup service or a delivery service. We propose a Randomized Multi-start Genetic Algorithm (RM-GA) to solve the 1-PDTSP. Experimental investigations show that the proposed algorithm is competitive against state-of-the-art methods.

归功于

不理会

ineptitude

Simulators and Emulators for WSNsviduals. This novel algorithm was used to optimize the stacker picking path in an Automated Storage/Retrieve System (AS/RS) of a large airport. The simulation results indicates that the proposed algorithm reduces the computational complexity of time and space greatly, and meets the needs of practical engineering of AS/RS optimization control.

舞蹈编排

Ugo Merlone,Piergiorgio Argenterotory is used to demonstrate the feasibility of the FPF-CA algorithm. The simulation experiment results show that the proposed algorithm can efficiently mine quantitative association rules according to the actual data distribution.