Titlebook: Advances in Swarm Intelligence, Part II; Second International Ying Tan,Yuhui Shi,Guoyin Wang Conference proceedings 2011 Springer-Verlag Gm

EWE

压倒性胜利

A Modified Multi-objective Binary Particle Swarm Optimization Algorithmrithm. The experimental results on a set of multi-objective benchmark functions demonstrate that the proposed MBBPSO is a competitive multi-objective optimizer and outperforms the standard binary PSO algorithm in terms of convergence and diversity.

创造性

厨房里面

Multiobjective Optimization for Nurse Schedulingto create benefit from synergy. Two simulation problems are used to evaluate the performance of the proposed method. The experimental results manifest that the proposed method outperforms NSGA II and MOPSO in terms of convergence and diversity performance measures of the produced results.

夜晚

尾随

A Self-organized Approach to Collaborative Handling of Multi-robot Systemsthe IAM-rule are valid and feasible. On this basis, the self-organized approach to collaborative hunting and handling with obstacle avoidance of multi-robot systems can be further analyzed effectively.

needle

蚀刻

寻找

FDClust: A New Bio-Inspired Divisive Clustering Algorithms will appear through the movement of agents in the same direction. The algorithm is tested and evaluated on several real benchmark databases. The obtained results are very interesting in comparison with Kmeans, Slink, Alink, Clink and Diana algorithms.

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