Prasitchai Boonserm

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Genomic research nowadays often faces the problem of big data. The data size from genome sequencing process can grow very quickly and continuously creating the problem with storage and processing. BGI, one of the renowned genomic research institutes in China also faces the similar problem. The research at BGI depends on several sequencing machines. One(More)
This paper presents a new hybrid algorithm that well performs in solving the numerical optimization problem. The DEPSO-Scout is inspired by Differential Evolution (DE), Particle Swarm Optimization (PSO) and Artificial Bee Colony (ABC). Strong points of DE and PSO which is solution exploitation and exploration are used in algorithm design. We propose a new(More)
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