Artificial bee colony or ABC is one of the newest additions to the class of population based
Nature Inspired Algorithms. In the present study we suggest some modifications in the …

From the past few decades many nature inspired algorithms have been developed and
gaining more popularity because of their effectiveness in solving problems of distinct …

Optimization, in general, concerns with finding the “best available” solution (s) for a given
problem, and the problem may have several or numerous optimum solutions, of which many …

The Particle Swarm Optimisation (PSO) algorithm was inspired by the social and biological
behaviour of bird flocks searching for food sources. In this nature-based algorithm …

Swarm intelligent algorithms focus on imitating the collective intelligence of a group of
simple agents that can work together as a unit. Such algorithms have particularly significant …

The swarm-based Artificial Bee Colony (ABC) algorithm has a significant range of
applications and is competent, compared to other algorithms, regarding many optimization …

A novel multi-objective optimisation algorithm is proposed in the present study in order to
gain the advantages of two well-known optimisation algorithms, artificial bee colony (ABC) in …

As an essential step of metaheuristic optimizers, initialization seriously affects the
convergence speed and solution accuracy. The main motivation of the state-of-the-art …

Particle swarm optimization (PSO) is a heuristic optimization technique which was inspired
by flocking and swarming behavior of birds and insects. Same as other swarm intelligent …

This paper investigates the effect of initiating the population with various probability
distributions and low discrepancy sequences on the behavior of Particle Swarm …