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

Cpr951

cuROB: A GPU-Based Test Suit for Real-Parameter Optimization cuROB, is introduced. Test functions of diverse properties are included within cuROB and implemented efficiently with CUDA. Speedup of one order of magnitude can be achieved in comparison with CPU-based benchmark of CEC’14.

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Predator-Prey Pigeon-Inspired Optimization for UAV Three-Dimensional Path Planningd compass operator model is presented based on magnetic field and sun, while landmark operator model is designed based on landmarks. In this paper, a novel Predator-prey pigeon-inspired optimization (PPPIO) is proposed to solve the three-dimensional path planning problem of unmanned aerial vehicles

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obsolete

An Improved Particle Swarm Optimization-Based Coverage Control Method for Wireless Sensor Networkained in deployment which accomplish self-organization through moving and changing topological structure. This paper proposes an improved discrete particle swarm optimization algorithm aimed at coverage control method of WSN, and the optimization is implemented under two processes: deployment planni

令人悲傷

An Improved Energy-Aware Cluster Heads Selection Method for Wireless Sensor Networks Based on K-meanes a critical issue in sensor networks. Clustering is one of the most effective means to extend the lifetime of the whole network. In this paper, an energy-aware cluster heads selection method, based on binary particle swarm optimization (BPSO) and K-means, is presented to prolong the network lifeti

glucagon

Comparison of Multi-population PBIL and Adaptive Learning Rate PBIL in Designing Power System Controt has recently received increasing attention due to its effectiveness, easy implementation and robustness. Despite these strengths, it has been reported recently that PBIL suffers from issues of loss of diversity in the population. To deal with the issue of premature convergence, we propose in this

IOTA

Vibration Adaptive Anomaly Detection of Hydropower Unit in Variable Condition Based on Moving Least nditions, continual working status switch, less fault samples, single static alarm threshold. Lots of test research shows that active power and working head are key factors which affect the operation conditions of hydropower unit. The health standard condition of unit is determined. An adaptive real

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