More than a decade after the first extensive overview on parameter control, we revisit the
field and present a survey of the state-of-the-art. We briefly summarize the development of …

Over the last few decades, many population-based swarm and evolutionary algorithms were
introduced in the literature. It is well known that population topology or sociometry plays an …

Gravitational search algorithm (GSA) inspired by the law of gravity is a swarm intelligent
optimization algorithm. It utilizes the gravitational force to implement the interaction and …

Structured population in evolutionary algorithms is a vital strategy to control diversity during
the search. One of the most popular structured population strategies is the island model in …

Flower pollination algorithm (FPA) is a recent swarm-based evolutionary algorithm that was
inspired by the biological evolution of pollination of the flowers. It deals with a panmictic …

This paper proposes an efficient version of artificial bee colony (ABC) algorithm based on
the island model concepts. The new version is called the island artificial bee colony (i ABC) …

Automatic data clustering, whose goal is to recover the proper number of clusters as well as
appropriate partitioning of data sets, is a fundamental yet challenging problem in …

Over the past few years, cloud computing model (eg, Spark) has aroused huge attention.
Differential evolution (DE) has been applied to cloud computing models by a number of …

Practitioners frequently encounter the challenge of selecting the best optimization algorithm
from a pool of options. However, why not, rather than selecting a single algorithm, let …

We propose NM landscapes as a new class of tunably rugged benchmark problems. NM
landscapes are well defined on alphabets of any arity, including both discrete and real …