This paper presents a novel meta-heuristic algorithm so-called White Shark Optimizer
(WSO) to solve optimization problems over a continuous search space. The core ideas and …

In science and engineering, many optimization tasks are difficult to solve, and the core
concern these days is to apply metaheuristic (MH) algorithms to solve them. Metaheuristics …

Optimization is a method which is used in every field, such as engineering, space, finance,
fashion market, mass communication, travelling, and also in our daily activities. In every …

This paper proposes a novel nature-inspired optimization algorithm called the Fox optimizer
(FOX) which mimics the foraging behavior of foxes in nature when hunting preys. The …

Stochastic-based optimization algorithms are effective approaches to addressing
optimization challenges. In this article, a new optimization algorithm called the Election …

A novel bio-inspired meta-heuristic algorithm, namely the American zebra optimization
algorithm (AZOA), which mimics the social behaviour of American zebras in the wild, is …

Reliability allocation to increase the total reliability has become a successful way to increase
the efficiency of the complex industrial system designs. A lot of research in the past have …

Alternative energies will be the engine that moves the world in the future; therefore,
researchers focus their attention on the problems related to designing and properly …

The present paper introduces a new evolutionary algorithm to solve optimization issues
called the human felicity algorithm (HFA). The main idea of the HFA has been inspired the …

The stability control of nominal frequency and terminal voltage in an interconnected power
system (IPS) is always a challenging task for researchers. The load variation or any …