The population initialization step is a common step in the majority (or even all) of
evolutionary algorithms (EAs). There are many population initialization techniques. Due to …

Artificial bee colony (ABC) optimization algorithm is relatively a simple and recent population
based probabilistic approach for global optimization. ABC has been outperformed over …

This paper proposes a new version of the Artificial Bee Colony (ABC) optimization algorithm
based on the natural nest-site selection behavior of honey bee swarms. The algorithm offers …

Artificial Bee Colony (ABC) is a distinguished optimization strategy that can resolve
nonlinear and multifaceted problems. It is comparatively a straightforward and modern …

Metaheuristics are popularly used in various fields, and they have attracted much attention
in the scientific and industrial communities. In recent years, the number of new metaheuristic …

The research and development of metaheuristic methods are critical issues in computer
science. In the past decade, metaheuristic algorithms have been used in many engineering …

The paper presents a new optimization algorithm inspired by group decision-making
process of honey bees. The honeybees search for the best nest site among many possible …

Particle swarm optimization (PSO) is a popular population based approach used to solve
nonlinear and complex optimization problems. It is simple to implement and swarm based …

Particle swarm optimisation (PSO) is a well-established optimisation algorithm inspired from
flocking behaviour of birds. The big problem in PSO is that it suffers from premature …

The set-based particle swarm optimisation algorithm is a swarm-based meta-heuristic that
has gained popularity in recent years. In contrast to the original particle swarm optimisation …