Feature selection is a critical and prominent task in machine learning. To reduce the
dimension of the feature set while maintaining the accuracy of the performance is the main …

Swarm intelligence and bio-inspired algorithms form a hot topic in the developments of new
algorithms inspired by nature. These nature-inspired metaheuristic algorithms can be based …

This paper proposes a novel nature-inspired algorithm called Gaining Sharing Knowledge
based Algorithm (GSK) for solving optimization problems over continuous space. The GSK …

In the last decade, we observe an increasing number of nature-inspired optimization
algorithms, with authors often claiming their novelty and their capabilities of acting as …

Expert and intelligent systems try to simulate intelligent human experts in solving complex
real-world problems. The domain of problems varies from engineering and industry to …

In the field of image processing, there are several problems where the efficient search has to
be performed in complex search domain to find an optimal solution. Image enhancement …

In the field of image processing, there are several problems where an efficient search of the
solutions has to be performed within a complex search domain to find an optimal solution …

CONTENTS 11.1 Introduction.................................................... 694 11.2 Concepts of
Metaheuristic Techniques.................................. 69711.2. 1 Optimization …

Abstract For many decades, Machine Learning made it possible for humans to map the
patterns that govern interpolating problems and also, provided methods to cluster and …

This paper reviews a majority of the nature-inspired algorithms, including heuristic and meta-
heuristic bio-inspired and non-bio-inspired algorithms, focusing on their source of inspiration …