Comparison of recent optimization algorithms for design optimization of a cam-follower mechanism

• Published in: Knowledge-based systems Vol. 191; p. 105237
• Main Authors: Abderazek, Hammoudi, Yildiz, Ali Riza, Mirjalili, Seyedali
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 05.03.2020; Elsevier Science Ltd
• Subjects: Algorithms; Ant lion optimizer; Cam mechanism; Design optimization; Evaporation rate; Follower motion law; Grey wolf optimizer; Heuristic methods; Metaheuristics; Moth-Flame optimizer; Multi verse optimizer; Optimization; Optimization algorithms; Polynomials; Salp Swarm Optimizer; Structural design; Follower motion law; Moth-Flame optimizer; Salp Swarm Optimizer; Algorithms; Metaheuristics; Cam mechanism; Grey wolf optimizer; Multi verse optimizer; Ant lion optimizer; Optimization
• ISSN: 0950-7051; 1872-7409; 1872-7409
• DOI: 10.1016/j.knosys.2019.105237

This study presents the application of seven recent meta-heuristic optimization algorithms to automate design of disk cam mechanism with translating roller follower regarding four follower motion laws. The algorithms are: salp swarm algorithm (SSA), moth–flame optimization (MFO), ant lion optimizer (ALO), multi verse optimizer (MVO), grey wolf optimizer (GWO), evaporation rate water cycle algorithm (ER-WCA), and mine blast algorithm (MBA). The optimum cam design problem is formulated with three objectives including the minimum congestion, maximum performance, and maximum strength resistance of the cam. Moreover, the effect of selecting follower motion law on the optimal design of mechanism is investigated. The computational results clearly indicate that the utilized algorithms are very competitive in structural design optimization, especially MBA, ER-WCA, MFO and GWO techniques. Among the four follower motion laws, the polynomial 3-4-5 degree is the best one.