Since its inception in 1995, Differential Evolution (DE) has emerged as one of the most
frequently used algorithms for solving complex optimization problems. Its flexibility and …

The ongoing rapid expansion of the Word Wide Web (WWW) greatly increases the
information of effective transmission from heterogeneous individuals to various systems …

The poor absolute positioning accuracy of industrial robots is the main obstacle for its further
application in precision grinding of complex surfaces, such as blisk, blade, etc. Based on the …

In population-based optimization algorithms (POAs), given an optimization problem, the
quality of the solutions depends heavily on the selection of algorithms, strategies and …

In most metaheuristic algorithms, the updating process fails to make use of information
available from individuals in previous iterations. If this useful information could be exploited …

Firefly algorithm (FA) is a new optimization technique based on swarm intelligence. It
simulates the social behavior of fireflies. The search pattern of FA is determined by the …

This article proposes a novel metaheuristic algorithm called Volleyball Premier League
(VPL) inspired by the competition and interaction among volleyball teams during a season. It …

In the mid 1990s two landmark metaheuristics have been proposed: Particle Swarm
Optimization and Differential Evolution. Their initial versions were very simple, but rapidly …

In classification problems, normally there exists a large number of features, but not all of
them contributing to the improvement of classification performance. These redundant …

The particle swarm optimization (PSO) algorithm is a popular evolutionary computation
approach that has received an ever-increasing interest in the past decade owing to its wide …