Abstract Whale optimization algorithm, as a relatively novel swarm-based intelligence has been extensively utilized in numerous scientific and engineering fields. The intent of this work was to devise modified WOA based on multi-strategy, named MSWOA, address somewhat deficiencies the original WOA, such converging slowly, stagnating at local minima poor stability. First, tent map function is ad...

The whale optimization algorithm (WOA) is a popular swarm intelligence which simulates the hunting behavior of humpback whales. WOA has deficiency easily falling into local optimal solutions. In order to overcome weakness WOA, modified variant called OCDWOA proposed. There are four main operators introduced enhance search performance WOA. include opposition-based learning method, nonlinear para...

The optimal power flow (OPF) is a vital tool for optimizing the control parameters of system by considering desired objective functions subject to constraints. Metaheuristic algorithms have been proven be well-suited solving complex optimization problems. whale algorithm (WOA) one well-regarded metaheuristics that widely used solve different Despite use WOA in fields application as OPF, its eff...

The method to deal with the tag collision in RFID system can be directly called “Multiple Access”. According to the ideas of these different anti-collision algorithms, they can be divided into two categories. One is the binary tree algorithm based on deterministic; the other is the statistical-based ALOHA algorithm. Overall, however, there is still room for improvement on anti-collision algorit...

The binary-based algorithms including the binary particle swarm optimization (BPSO) algorithm are proposed to solve discrete optimization problems. Many works have focused on the improvement of the binary-based algorithms. Yet, none of these works have been represented in states. In this paper, by implementing the representation of state in particle swarm optimization (PSO), a variant of PSO ca...