Metaheuristic algorithms are computational intelligence paradigms especially used for
sophisticated solving optimization problems. This chapter aims to review of all …

Whale optimization algorithm (WOA) is a recently developed swarm-based meta-heuristic
algorithm that is based on the bubble-net hunting maneuver technique—of humpback …

Early detection of skin cancer is very important and can prevent some skin cancers, such as
focal cell carcinoma and melanoma. Although there are several reasons that have bad …

The whale optimization algorithm (WOA) has been shown to be powerful in searching for an
optimal solution. This paper proposes an improvement to the whale optimization algorithm …

The whale optimization algorithm (WOA) is a nature‐inspired metaheuristic optimization
algorithm, which was proposed by Mirjalili and Lewis in 2016. This algorithm has shown its …

This paper presents an improved Whale Optimization Algorithm (WOA) for global
optimization. WOA is a recently introduced meta-heuristic algorithm mimicking the hunting …

The present study investigates a novel Multiobjective Thermal Exchange Optimization
(MOTEO) algorithm for truss design. Established on Newton's law of cooling framework, this …

Deep Reinforcement Learning (DRL) enables agents to make decisions based on a well-
designed reward function that suites a particular environment without any prior knowledge …

A recent metaheuristic algorithm, such as Whale optimization algorithm (WOA), was
proposed. The idea of proposing this algorithm belongs to the hunting behavior of the …

This chapter presents and analyzes the Whale Optimization Algorithm. The inspiration of this
algorithm is first discussed in details, which is the bubble-net foraging behaviour of …