An adaptive multi-objective bacterial swarm optimzer

Xin Xu,Yanheng Liu,Aimin Wang,Gang Wang,Hui-Ling Chen

ICNC（2012）

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摘要

This paper proposes an adaptive multi-objective bacterial swarm optimizer (AMBSO) for multi-objective problems. The proposed AMBSO method implements the search for Pareto optimal set of multi-objective optimization problems. The AMBSO has been compared with the MBFO over a test suite of five ZDT numerical benchmarks with respect to the two performance measures: Generational Distance and Diversity Measure. The simulation results show that the AMBSO is able to find a much better Pareto front solutions.

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关键词

multi-objective optimization,multiobjective optimization problems,microorganisms,numerical analysis,pareto front solutions,zdt numerical benchmarks,biology,generational distance,ambso,pareto optimisation,bacterial foraging optimzer,diversity measurement,pareto front,adaptive multiobjective bacterial swarm optimizer,pareto optimal set,multi objective optimization,optimization,benchmark testing,kernel,delta modulation

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