The design of complex mechanical components is a time-consuming process which involves
many design variables with multiple interacted objectives and constraints. Traditionally, the …

The Grey Wolf Optimizer (GWO) has emerged as one of the most captivating swarm
intelligence methods, drawing inspiration from the hunting behavior of wolf packs. GWO's …

The failure of classical techniques and algorithms have triggered researchers to search for
stochastic tools capably of exploring the search space with constant convergence speed …

The performance of various population-based advanced optimization algorithms has been
significantly improved by using the multi-population search scheme. The multi-population …

Pan evaporation (E p) estimation is important in scheduling and computing irrigation water
requirement. This study evaluated the ability of novel meta-heuristic optimization algorithms …

Particle swarm optimization (PSO) has many advantages such as fewer parameters, faster
convergence and easy implementation; however, it is also prone to fall into local optimum …

The low heat conduction values and high mechanical properties of stainless steels, which
have high resistance to corrosion, make them difficult to be machined. Custom 450, a …

This paper considers the problem of constrained multi-objective non-linear optimization of
planetary gearbox based on hybrid metaheuristic algorithm. Optimal design of planetary …

Spur gear design and analysis is the most sought-after research area in the gear design
field. It provides detailed quantitative analysis for accurate gear design. As a result, design …

The optimization of gears is crucial to the development of energy efficient mechanical
systems. Weight, volume and power output are major objectives dependent on reduced …