Mostafa A. Elhosseini

Design of optimal PID controller using hybrid differential evolution and particle swarm optimization with an aging leader and challengers

Propose a modified PSO-DV algorithm using aging mechanism.The algorithm is tested on 12 benchmark functions.The algorithm is used for determining the optimal parameters of PID controller.Comparisons with different evolutionary algorithms show that the algorithm is efficient and robust. This paper presents a new algorithm designed to find the optimal parameters of PID controller. The proposed algorithm is based on hybridizing between differential evolution (DE) and Particle Swarm Optimization with an aging leader and challengers (ALC-PSO) algorithms. The proposed algorithm (ALC-PSODE) is tested on twelve benchmark functions to confirm its performance. It is found that it can get better solution quality, higher success rate in finding the solution and yields in avoiding unstable convergence. Also, ALC-PSODE is used to tune PID controller in three tanks liquid level system which is a typical nonlinear control system. Compared to different PSO variants, genetic algorithm (GA), differential evolution (DE) and Ziegler-Nichols method; the proposed algorithm achieve the best results with least standard deviation for different swarm size. These results show that ALC-PSODE is more robust and efficient while keeping fast convergence.

A new ABC variant for solving inverse kinematics problem in 5 DOF robot arm

Abstract While the outcomes of artificial bee colony (ABC) have been encouraging enough, ABC algorithm lacks good compromise between exploration and exploitation. The main aim of this paper is to propose ABC-based algorithm; namely knowledge-based artificial bee colony (K-ABC), that is able to converge quickly and explore the most promising area of the intended search space. To be sure that the K-ABC algorithm is trustworthy and reliable, it is tested against the most recent well-known benchmarks CEC’2017. On top of that, the K-ABC wins against their counterpart on the inverse kinematic problem for a 5 DOF robot arm and some other complex constrained engineering problems. The effect of the limit parameter is investigated as well. Experimental results show that K-ABC has a mean squared error 60% less than standard ABC for the inverse kinematic solution.