The constant development of new metaheuristic algorithms has led to a saturation in the
field of stochastic search. There are now hundreds of different algorithms that can be used to …

Abstract In Metaheuristic Algorithms (MA), the balance between exploration and exploitation
is a common issue considered an open research problem in the MA community. Besides its …

Simple Summary Segmentation of brain tumor images from magnetic resonance imaging
(MRI) is a challenging topic in medical image analysis. The brain tumor can take many …

This paper proposes a new evolutionary algorithm namely Evolutionary Mating Algorithm
(EMA) to solve constrained optimization problems. The algorithm is based on the adoption of …

Global optimization solves real-world problems numerically or analytically by minimizing
their objective functions. Most of the analytical algorithms are greedy and computationally …

Proliferation of technologies in wireless sensor networks is grabbing huge attention across
scientific community due to its vast coverage in real life applications. It has emerged as an …

The gravitational search algorithm (GSA) is one of the most promising algorithm in the
physics-based metaheuristics category. However, GSA suffers from premature convergence …

Purpose Metaheuristic algorithms have been commonly used as an optimisation tool in
various fields. However, optimisation of real-world problems has become increasingly …

One of the central issues that must be resolved for a metaheuristic optimization process to
work well is the dilemma of the balance between exploration and exploitation. The …

Designing an efficient wireless sensor network (WSN) system is considered a challenging
problem due to the limited energy supply per sensor node. In this paper, the performance of …