Abstract A global search operator is designed to prevent the magnetic bacteria algorithm from falling into local minimum easily and an improved power spectrum-based magnetotactic bacteria algorithm(IPSMBA) is proposed. The algorithm is based on the power spectrum of the magnetic particles in bacteria bodies. The bacteria moment regulation operator and bacteria replacement operator are improved in the process of simulating magnetic bacteria moment regulation. To make the best of the power spectrum information and increase the diversity of the population, a new moment replacement operator combining chaotic mapping and power spectrum replacement operator is designed. The experiments indicate that IPSMBA achieves better convergence and robustness on low dimensional benchmark functions, and it has better performance on high dimensional functions.
About author:: (ZHANG Xuexue(Corresponding author), born in 1991, master student. Her research interests include optimization method and its application, and intelligent optimization algorithm. (LIU Sanyang, born in 1959, Ph.D., professor. His research interests include optimization theory and its application.)
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2017, Vol. 30 
