A novel particle swarm optimization based on bacteria quorum sensing mechanism

A novel particle swarm optimization based on bacteria quorum sensing mechanism

Based on analysis of bacteria quorum sensing phenomenon in natural ecosystem, the mechanism of quorum sensing is incorporated into the particle swarm optimization (PSO) to propose a novel PSO algorithm called particle swarm optimization based on bacteria quorum sensing mechanism (PSOQS), which is co...

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Bibliographic Details
Published in:2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI) pp. 485 - 488
Main Authors: Jun Cheng, Rongjun Li
Format: Conference Proceeding
Language:English
Published: IEEE 01-10-2012
Subjects:
Algorithm design and analysis
Benchmark testing
Microorganisms
Particle swarm optimization
Sensors
Sociology
Statistics
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Summary:Based on analysis of bacteria quorum sensing phenomenon in natural ecosystem, the mechanism of quorum sensing is incorporated into the particle swarm optimization (PSO) to propose a novel PSO algorithm called particle swarm optimization based on bacteria quorum sensing mechanism (PSOQS), which is composed of the initial population and the sensing population. In this algorithm, the initial population generated a sensing population as the former iterated a certain number. The particles of two populations exchanged according to fitness value in order to embody the law of "survival of the fittest" in biological evolution. The experimental results of six benchmark functions demonstrate the different quorum sensing frequency of the present algorithm.
ISBN:9781467317436
1467317438
DOI:10.1109/ICACI.2012.6463211