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Resource scheduling is one of the most important problems in cloud computing. However, it is a big challenge for efficient resource scheduling algorithm design and implementation (since general scheduling problem is NP-complete). Most existing resource scheduling methods of cloud computing only consider task resource requirements for CPU and memory, without considering bandwidth requirements. In this...
Multiuser orthogonal frequency division multiplexing (MU-OFDM) is a promising technique for achieving high downlink capacities in future cellular and wireless local area network systems. The capacity of MU-OFDM can be maximized as long as subchannels and power are allocated adaptively, a new method based on genetic algorithm (GA) is proposed for adaptive power allocation in MU-OFDM system. Some proportional...
A robust hybrid algorithm named DEOSA for function optimization problems is investigated in this paper. In recent years, differential evolution (DE) has attracted wide research and effective applications in various fields. However, to the best of our knowledge, most of the available works did not consider noisy and uncertain environments in practical optimization problems. This paper focuses on a...
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