An Improved Dung Beetle Optimizer Based on Multi-strategy
In order to solve the problems of the traditional Dung Beetle Optimizer(DBO)in terms of low convergence accuracy and easy to fall into local optimization,we propose an improved dung beetle optimizer(IDBO)based on multi-strategy.First,the Circle chaotic mapping strategy is in-troduced with the aim of increasing and improving the diversity of initial solutions.Second,in order to avoid the algorithm from falling into a local optimum,we introduce the elite archiving strategy for dung beetle position updating,which improves the algorithm's local optimality seeking ability.Finally,we employ the Lévy flight strategy,which aims to improve the population diversity and enable the algo-rithm to jump out of the local optimum.Through simulation on six different types of benchmark test functions and numerical analysis of the experimental results,we find that the improved dung beetle op-timization algorithm has the advantages of high accuracy,fast convergence,and robustness in solving high-dimensional complex problems..
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