Hammoudi Abderazek

TL;DR: A comparative study on the application of ten recent meta-heuristic approaches to optimize the design of six mechanical engineering optimization problems to demonstrate the efficiency and the ability of the algorithms used in this article.

TL;DR: A new evolutionary algorithm called modified adaptive differential evolution (MADE) is introduced for multi-objective optimization of a cam mechanism with offset translating roller follower for minimum congestion, maximum efficiency, and maximum strength resistance of the cam.

TL;DR: Seven recent meta-heuristic optimization algorithms to automate design of disk cam mechanism with translating roller follower regarding four follower motion laws indicate that they are very competitive in structural design optimization, especially MBA, ER-WCA, MFO and GWO techniques.

TL;DR: The results show the BOA’s ability to design better optimum components in the automotive industry as well as its ability to reduce the weight of a vehicle suspension arm by 32.9 %.

TL;DR: This work analyzes the behavior of nine metaheuristic algorithms, namely, salp swarm algorithm (SSA), multi-verse optimizer (MVO), moth-flame optimizers (MFO), atom search optimization (ASO), ecogeography-based optimization (EBO), queuing search algorithm (QSA), equilibrium Optimizer (EO), evolutionary strategy (ES) and hybrid self-adaptive orthogonal genetic algorithm (HSOGA).