Metaheuristic algorithms are widely used in various fields of optimization engineering.
These algorithms have become popular because of their ability to explore and exploit …

This paper introduces a bio-inspired metaheuristic optimization algorithm named Tunicate
Swarm Algorithm (TSA). The proposed algorithm imitates jet propulsion and swarm …

This paper presents a novel bio-inspired optimization algorithm called Rat Swarm Optimizer
(RSO) for solving the challenging optimization problems. The main inspiration of this …

This paper presents a novel bio-inspired algorithm called Seagull Optimization Algorithm
(SOA) for solving computationally expensive problems. The main inspiration of this algorithm …

This study introduces the extension of currently developed Seagull Optimization Algorithm
(SOA) in terms of multi-objective problems, which is entitled as Multi-objective Seagull …

Abstract Emperor Penguin Optimizer (EPO) is a metaheuristic algorithm which is recently
developed and illustrates the emperor penguin's huddling behaviour. However, the original …

This paper proposes a novel optimization algorithm, called Emperor Penguin Optimizer
(EPO), which mimics the huddling behavior of emperor penguins (Aptenodytes forsteri). The …

This paper presents a bio-inspired algorithm called Sooty Tern Optimization Algorithm
(STOA) for solving constrained industrial problems. The main inspiration of this algorithm is …

The metaheuristic algorithm is a very important area of research that continuously improves
in solving optimization problems. Nature-inspired is one of the metaheuristic algorithm …

Meta-heuristics are problem-independent optimization techniques which provide an optimal
solution by exploring and exploiting the entire search space iteratively. These techniques …