As the world moves towards industrialization, optimization problems become more
challenging to solve in a reasonable time. More than 500 new metaheuristic algorithms …

New metaheuristic algorithms have soared over the past ten years. A common practice in
proposing a new algorithm is validating it on several benchmark functions and engineering …

A new bio-inspired optimization technique, named Manta Ray Foraging Optimization
(MRFO) algorithm, is proposed and presented, aiming to providing a novel algorithm that …

In recent years, various metaheuristic optimization methods have been proposed in scientific
and engineering fields. In this study, a novel physics-inspired metaheuristic optimization …

A novel nature-inspired meta-heuristic optimization algorithm, named artificial ecosystem-
based optimization (AEO), is presented in this paper. AEO is a population-based optimizer …

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 …

In recent years, several optimization methods especially metaheuristic optimization methods
have been developed by scientists. People have utilized power of nature to solve problems …

Nature-Inspired Computing: Physics and Chemistry-Based Algorithms provides a
comprehensive introduction to the methodologies and algorithms in nature-inspired …

Epilepsy is a complex process and the prediction of seizure is uncertain. Currently, many
researchers are exploring different optimization methods to detect the epileptic seizure …

In today's day and time solving real-world complex problems has become fundamentally
vital and critical task. Many of these are combinatorial problems, where optimal solutions are …