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 …

Conventional microgrids face a number of challenges due to intermittency of renewable
energy resources and the lack of any effective energy management system. Thus, there is a …

Metaheuristic optimization algorithms present an effective method for solving several
optimization problems from various types of applications and fields. Several metaheuristics …

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 …

Dipper throated optimization (DTO) algorithm is a novel with a very efficient metaheuristic
inspired by the dipper throated bird. DTO has its unique hunting technique by performing …

Parameter extraction of solar photovoltaic (PV) models is a typical complex nonlinear
multivariable strongly coupled optimization problem. In this paper, an improved whale …

The flow shop scheduling problem is one of the most important types of scheduling with a
large number of real-world applications. In this paper, we propose a new algorithm that …

A multitude of optimization tasks ensue in the context of the smart grid, often exhibiting
undesirable characteristics like non-convexity, mixed types of design variables and multiple …

The whale optimization algorithm (WOA) is a new bio-inspired meta-heuristic algorithm
which is presented based on the social hunting behavior of humpback whales. WOA suffers …

In this study economic, reliable and environmentally friendly designing of a hybrid
photovoltaic-biowaste-fuel cell (PV-Biowaste-FC) system based on hydrogen storage …