The rapid development of urban cities coupled with the rise in population has led to an
exponentially growing number of vehicles on the roads for the latter to commute. This is …

Abstract The Jaya Algorithm is a relatively new population-based optimization, which has
become a progressively valuable tool in swarm intelligence. The Jaya algorithm …

Recent advances in metaheuristics have shown the advantages of using the Lévy
distribution, which models a kind of random walk (named “Lévy flight”) with occasional “big” …

In this research, a new metaheuristic optimization algorithm, inspired by biological nervous
systems and artificial neural networks (ANNs) is proposed for solving complex optimization …

Rescheduling is a necessary procedure for a flexible job shop when newly arrived priority
jobs must be inserted into an existing schedule. Instability measures the amount of change …

This paper addresses urban traffic light scheduling problems (UTLSP) with eight phases.
The objective is to minimize the total vehicle delay time by assigning traffic phases and …

Keeping in view of the limitations of the traditional optimization techniques, the researchers
have developed a number of advanced optimization algorithms popularly known as …

Decomposition of a multiobjective optimization problem (MOP) into several simple
multiobjective subproblems, named multiobjective evolutionary algorithm based on …

Research on the development of Pareto-based multi-objective algorithms to address
scheduling problems has attracted a lot of attention in recent years. In this work, a multi …

The water cycle algorithm (WCA) is a nature-inspired meta-heuristic recently contributed to
the community in 2012, which finds its motivation in the natural surface runoff phase in water …