Metaheuristic algorithms for PID controller parameters tuning: Review, approaches and open problems
The simplicity, transparency, reliability, high efficiency and robust nature of PID controllers
are some of the reasons for their high popularity and acceptance for control in process …
are some of the reasons for their high popularity and acceptance for control in process …
A comprehensive survey: Whale Optimization Algorithm and its applications
FS Gharehchopogh, H Gholizadeh - Swarm and Evolutionary Computation, 2019 - Elsevier
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 …
Mirjalili and Lewis in 2016. An overview of WOA is described in this paper, rooted from the …
RIME: A physics-based optimization
This paper proposes an efficient optimization algorithm based on the physical phenomenon
of rime-ice, called the RIME. The RIME algorithm implements the exploration and …
of rime-ice, called the RIME. The RIME algorithm implements the exploration and …
An improved whale optimization algorithm based on multi-population evolution for global optimization and engineering design problems
Y Shen, C Zhang, FS Gharehchopogh… - Expert Systems with …, 2023 - Elsevier
The whale optimization algorithm (WOA) tends to suffer from slow convergence speed and
quickly falling into the local optimum. In this work, a WOA variant is proposed based on multi …
quickly falling into the local optimum. In this work, a WOA variant is proposed based on multi …
Multilevel threshold image segmentation for COVID-19 chest radiography: A framework using horizontal and vertical multiverse optimization
H Su, D Zhao, H Elmannai, AA Heidari… - Computers in Biology …, 2022 - Elsevier
COVID-19 is currently raging worldwide, with more patients being diagnosed every day. It
usually is diagnosed by examining pathological photographs of the patient's lungs. There is …
usually is diagnosed by examining pathological photographs of the patient's lungs. There is …
Chaotic random spare ant colony optimization for multi-threshold image segmentation of 2D Kapur entropy
D Zhao, L Liu, F Yu, AA Heidari, M Wang… - Knowledge-Based …, 2021 - Elsevier
Although the continuous version of ant colony optimizer (ACOR) has been successfully
applied to various problems, there is room to boost its stability and improve convergence …
applied to various problems, there is room to boost its stability and improve convergence …
Evolutionary biogeography-based whale optimization methods with communication structure: Towards measuring the balance
J Tu, H Chen, J Liu, AA Heidari, X Zhang… - Knowledge-Based …, 2021 - Elsevier
Abstract Whale Optimization Algorithm (WOA) is a popular swarm-based algorithm with
some spotted defects in its generated patterns during the searching phases. In this study, an …
some spotted defects in its generated patterns during the searching phases. In this study, an …
Ant colony optimization with horizontal and vertical crossover search: Fundamental visions for multi-threshold image segmentation
D Zhao, L Liu, F Yu, AA Heidari, M Wang… - Expert Systems with …, 2021 - Elsevier
The ant colony optimization (ACO) is the most exceptionally fundamental swarm-based
solver for realizing discrete problems. In order to make it also suitable for solving continuous …
solver for realizing discrete problems. In order to make it also suitable for solving continuous …
Boosting whale optimization with evolution strategy and Gaussian random walks: An image segmentation method
Stochastic optimization has been found in many applications, especially for several local
optima problems, because of their ability to explore and exploit various zones of the feature …
optima problems, because of their ability to explore and exploit various zones of the feature …
A novel enhanced whale optimization algorithm for global optimization
One of the main issues with heuristics and meta-heuristics is the local optima stagnation
phenomena. It is often called premature convergence, which refers to the assumption of a …
phenomena. It is often called premature convergence, which refers to the assumption of a …