This paper introduces a new metaheuristic algorithm called Migration Algorithm (MA), which
is helpful in solving optimization problems. The fundamental inspiration of MA is the process …

Metaheuristics have emerged as one of the prominent problem-solving methodologies to
handle optimization problems as they can provide good quality solutions within acceptable …

This paper presents a novel and powerful population-based metaheuristic algorithm called
Nizar Optimization Algorithm (NOA). This algorithm is based on two techniques. The first …

This paper presents a novel meta-heuristic algorithm named Chameleon Swarm Algorithm
(CSA) for solving global numerical optimization problems. The base inspiration for CSA is …

Optimization is a powerful technique for obtaining the best possible solution of various
engineering design and planning problems. Over the last two to three decades, several …

In this study, a novel metaheuristic optimization algorithm, gradient-based optimizer (GBO) is
proposed. The GBO, inspired by the gradient-based Newton's method, uses two main …

In this paper, a new hybrid optimization algorithm, called “Interactive Search Algorithm (ISA)”
is proposed for the solution of the optimization problems. This algorithm modifies and …

In this paper, a hybrid bio-inspired metaheuristic optimization approach namely emperor
penguin and salp swarm algorithm (ESA) is proposed. This algorithm imitates the huddling …

In this paper, inspired by the biology migration phenomenon, which is ubiquitous in the
social evolution process in nature, a new meta-heuristic optimization paradigm called …

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