One of the major distinguishing features of the dynamic multiobjective optimization problems
(DMOPs) is that optimization objectives will change over time, thus tracking the varying …

Managing convergence and diversity is essential in the design of multiobjective particle
swarm optimization (MOPSO) in search of an accurate and well distributed approximation of …

In this paper, a memetic algorithm for global path planning (MAGPP) of mobile robots is
proposed. MAGPP is a synergy of genetic algorithm (GA) based global path planning and a …

This paper presents the mechanical synthesis of a four-bar mechanism, its definition as a
constrained optimisation problem in the presence of one dynamic constraint and its solution …

In this paper, we propose a new approach to raise the performance of multiobjective particle
swam optimization. The personal guide and global guide are updated using three kinds of …

Evolutionary computation is the study of biologically motivated computational paradigms
which exert novel ideas and inspiration from natural evolution and adaptation. The …

In order to improve the utilization ratio of scrap iron and steel in the shredding material of the
body of End of life vehicle after disassembly, it is necessary to determine the optimized …

An optimisation is a process of finding maxima or minima of the objective function. Particle
Swarm Optimisation (PSO) is a nature-inspired, meta-heuristic, black box optimisation …