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

The world is currently facing a power shortage due to the inadequacy of conventional
energy sources and increased energy requirements in almost all sectors of human life. To …

In this paper a novel nature-inspired optimization paradigm is proposed called Moth-Flame
Optimization (MFO) algorithm. The main inspiration of this optimizer is the navigation method …

This study proposes the Fire Hawk Optimizer (FHO) as a novel metaheuristic algorithm
based on the foraging behavior of whistling kites, black kites and brown falcons. These birds …

This paper introduces a new method called the Mayfly Algorithm (MA) to solve optimization
problems. Inspired from the flight behavior and the mating process of mayflies, the proposed …

A unified view of metaheuristics This book provides a complete background on
metaheuristics and shows readers how to design and implement efficient algorithms to solve …

This paper applies a new robust and powerful metaheuristic algorithm called Symbiotic
Organisms Search (SOS) to numerical optimization and engineering design problems. SOS …

Meta-heuristic algorithms are becoming more prevalent and have been widely applied in
various fields. There are numerous reasons for the success of such techniques in both …

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 this paper, the Atomic Orbital Search (AOS) is proposed as a novel metaheuristic
algorithm for optimization purposes. The main concept of this algorithm is based on some …