In recent years, the research community has witnessed an explosion of literature dealing
with the mimicking of behavioral patterns and social phenomena observed in nature towards …

Bio-inspired optimization (including Evolutionary Computation and Swarm Intelligence) is a
growing research topic with many competitive bio-inspired algorithms being proposed every …

In recent algorithmic family simulates different biological processes observed in Nature in
order to efficiently address complex optimization problems. In the last years the number of …

This authoritative handbook reveals the connections between bioinspired techniques and
the development of solutions to problems that arise in diverse problem domains. It provides …

With the explosion of data generation, getting optimal solutions to data driven problems is
increasingly becoming a challenge, if not impossible. It is increasingly being recognised that …

Nature-inspired metaheuristics comprise a compelling family of optimization techniques.
These algorithms are designed with the idea of emulating some kind natural phenomena …

Bio-inspired computing represents the umbrella of different studies of computer science,
mathematics, and biology in the last years. Bio-inspired computing optimization algorithms is …

Biologically inspired optimization methods constitute a rapidly expanding field of research,
with new applications appearing on an almost daily basis, as optimization problems of ever …

Swarm intelligence (SI) and bio-inspired computing in general have attracted great interest
in almost every area of science, engineering, and industry over the last two decades. In this …

To many people, the terms nature-inspired algorithm and metaheuristic are interchangeable.
However, this contemporary usage is not consistent with the original meaning of the term …