Parallelizing Modified Cuckoo Search on MapReduce Architecture

Chia-Yu、Lin Lin、Yuan-Ming、Pai、Kun-Hung、Tsai、Charles、Wen Wen

2013Acta Scientiarum Naturalium Universitatis SunyatseniComputer Science被引 4

摘要

Meta-heuristics typically takes long time to search optimality from huge amounts of data samples for applications like communication, medicine, and civil engineering. Therefore, parallelizing meta-heuristics to massively reduce runtime is one hot topic in related research. In this paper, we propose a MapReduce modified cuckoo search (MRMCS), an efficient modified cuckoo search (MCS) implementation on a MapReduce architecture-Hadoop. MapReduce particle swarm optimization (MRPSO) from a previous work is also implemented for comparison. Four evaluation functions and two engineering design problems are used to conduct experiments. As a result, MRMCS shows better convergence in obtaining optimality than MRPSO with two to four times speed-up.

引用本文（GB/T 7714）

Chia-Yu, Lin Lin, Yuan-Ming, 等. Parallelizing Modified Cuckoo Search on MapReduce Architecture[J]. Acta Scientiarum Naturalium Universitatis Sunyatseni, 2013.

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