Realistic problems typically have many conflicting objectives. Therefore, it is instinctive to
look at the engineering problems as multi-objective optimization problems. This paper briefly …

Abstract Whale Optimization Algorithm (WOA) is an optimization algorithm developed by
Mirjalili and Lewis in 2016. An overview of WOA is described in this paper, rooted from the …

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 …

In order to overcome the low solution efficiency, insufficient diversity in the later search
stage, slow convergence speed and a high search stagnation possibility of differential …

In the modern era, the cyberbullying (CB) is an intentional and aggressive action of an
individual or a group against a victim via electronic media. The consequence of CB is …

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

Abstract Generally, Synthetic Benchmark Problems (SBPs) are utilized to assess the
performance of metaheuristics. However, these SBPs may include various unrealistic …