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

Differential evolution and its variants have already proven their worth in the field of
evolutionary optimization techniques. This study further enhances the success history-based …

The Harris hawks optimization algorithm (HHO) is a novel swarm-based meta-heuristic
algorithm. In this study, a modified Harris hawks optimization algorithm (MHHO) is proposed …

Nowadays, the design of optimization algorithms is very popular to solve problems in
various scientific fields. The optimization algorithms usually inspired by the natural …

This study presents a new nature-inspired optimization algorithm, namely the Mantis Search
Algorithm (MSA), inspired by the unique hunting behavior and sexual cannibalism of praying …

As science and technology improve, more and more complex global optimization difficulties
arise in real-life situations. Finding the most perfect approximation and optimal solution …

A novel metaheuristic algorithm for global optimization, called the Solar System Algorithm
(SSA), is presented. The proposed algorithm imitates the orbiting behavior of some objects …

Abstract Classical Harris Hawks optimiser (HHO) algorithm has a notable approach for
global optimization. However, for constrained engineering optimization problems it is easily …

This paper proposes a novel swarm intelligence-based metaheuristic called as sea-horse
optimizer (SHO), which is inspired by the movement, predation and breeding behaviors of …

One of the main issues with heuristics and meta-heuristics is the local optima stagnation
phenomena. It is often called premature convergence, which refers to the assumption of a …