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 …

Research in metaheuristics for global optimization problems are currently experiencing an
overload of wide range of available metaheuristic-based solution approaches. Since the …

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

Nature-Inspired Optimization Algorithms, Second Edition provides an introduction to all
major nature-inspired algorithms for optimization. The book's unified approach, balancing …

Swarm Intelligence (SI) is a popular multi-agent framework that has been originally inspired
by swarm behaviors observed in natural systems, such as ant and bee colonies. In a system …

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 …

Nowadays, it has become a necessity for operational and reliable operation of networks due
to our increased dependency over the network services. However, intruders are …

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 …

Metaheuristic algorithms have been an interesting area for researchers, scientists and
academicians due to their specific and significant characteristics and capabilities. Their …