2021
DOI: 10.1007/s10489-021-02605-x
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A cooperative approach for combining particle swarm optimization and differential evolution algorithms to solve single-objective optimization problems

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Cited by 22 publications
(13 citation statements)
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“…Meanwhile, the purpose of the main function is to call all artificial intelligence algorithms regarding weights, variables, and dimensions of an engineering system with auto-tuning methods, such as in an intelligent thing. The novel algorithm will search for a more suitable algorithm to be performed in a considered number of iterations and parameters so that reasonably precise results can be achieved in a fast-running time [26] [27].…”
Section: Nb Theorymentioning
confidence: 99%
“…Meanwhile, the purpose of the main function is to call all artificial intelligence algorithms regarding weights, variables, and dimensions of an engineering system with auto-tuning methods, such as in an intelligent thing. The novel algorithm will search for a more suitable algorithm to be performed in a considered number of iterations and parameters so that reasonably precise results can be achieved in a fast-running time [26] [27].…”
Section: Nb Theorymentioning
confidence: 99%
“…This method has no requirements on the mechanical configuration of the robot, and the problem of singularity will not occur. In the HBC algorithm, each individual represents a set of joint angles, and the current end-effector posture matrix can be calculated by the forward kinematics equation, as shown in equation (22).…”
Section: Kinematics and Objective Functionmentioning
confidence: 99%
“…The second is to combine an algorithm with other algorithms. Dadvar et al 22 proposed a new hybrid algorithm (HGPSODE). Comparing with the classic algorithm and other hybrid models, the HGPSODE algorithm has better performance.…”
Section: Introductionmentioning
confidence: 99%
“…Based on ( 21), the standard HPSO algorithm draws lessons from genetic algorithm about crossover operation and mutation operation when updating particles [36].…”
Section: ) Standard Hpsomentioning
confidence: 99%