A Sine Cosine Arithmetic Optimization Algorithm Based on Chaos and Differential Mutation
Aiming at the problems of poor initial population quality,slow convergence speed and easy to fall into local extremum in the later stage of arithmetic optimization algorithm,a sine-cosine arithmetic optimization algorithm that integrats chaos and differential mutation is proposed.Introducing chaotic maps to initialize the population,impro-ving the quality of the initial population,and accelerating algorithm convergence;Combining the advantages of the a-rithmetic optimization algorithm and the sine-cosine algorithm,improving the individual iteration method of the algo-rithm,and balancing the ability of algorithm exploration and development;Introduce the differential mutation strategy to improve the algorithm'ability to escape from local optima.Using 12 test functions to compare and analyze the per-formance of the improved algorithm,the experimental results show that the solution accuracy and convergence speed of the improved algorithm are better than those of the comparison algorithm,and it has better stability.Finally,through the simulation experiments of two engineering design optimization problems,the superiority of the improved algorithm in dealing with realistic optimization problems is further verified.
Sine cosine algorithmArithmetic optimization algorithmHybrid optimizationChaotic mappingDif-ferential mutation
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