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As cloud computing is growing rapidly, efficient task scheduling algorithm plays a vital role to improve the resource utilization and enhance overall performance of the cloud computing environment. However, task scheduling is the severe challenge needed to solve urgently in cloud computing. Therefore, the simulated annealing multi-population genetic algorithm (SAMPGA) is proposed for task scheduling...
This paper deals with the consensus problem under communication network inducing delays. It has come to light that introducing a delay will lead in general to a reduction of the performance or instability. Therefore, investigating the control protocols for time-delay systems converging to consensus is important. In the present paper, we assume that each agent receives its own state information with...
Heuristic search methods usually require a large amount of evolutionary iterative calculation, which has become a bottleneck for applying them to practical engineering problems. In order to reduce the number of analysis of heuristic search methods, a Pareto multi-objective particle swarm optimization (MOPSO) method is presented. In this approach, Pareto fitness function is used to select global extremum...
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