[HTML][HTML] A systematic review of the whale optimization algorithm: theoretical foundation, improvements, and hybridizations
MH Nadimi-Shahraki, H Zamani… - … Methods in Engineering, 2023 - Springer
Despite the simplicity of the whale optimization algorithm (WOA) and its success in solving
some optimization problems, it faces many issues. Thus, WOA has attracted scholars' …
some optimization problems, it faces many issues. Thus, WOA has attracted scholars' …
An improved grey wolf optimizer for solving engineering problems
MH Nadimi-Shahraki, S Taghian, S Mirjalili - Expert Systems with …, 2021 - Elsevier
In this article, an Improved Grey Wolf Optimizer (I-GWO) is proposed for solving global
optimization and engineering design problems. This improvement is proposed to alleviate …
optimization and engineering design problems. This improvement is proposed to alleviate …
QANA: Quantum-based avian navigation optimizer algorithm
H Zamani, MH Nadimi-Shahraki… - Engineering Applications of …, 2021 - Elsevier
Differential evolution is an effective and practical approach that is widely applied for solving
global optimization problems. Nevertheless, its effectiveness and scalability are decreased …
global optimization problems. Nevertheless, its effectiveness and scalability are decreased …
MTDE: An effective multi-trial vector-based differential evolution algorithm and its applications for engineering design problems
MH Nadimi-Shahraki, S Taghian, S Mirjalili… - Applied Soft Computing, 2020 - Elsevier
In this article, an effective metaheuristic algorithm named multi-trial vector-based differential
evolution (MTDE) is proposed. The MTDE is distinguished by introducing an adaptive …
evolution (MTDE) is proposed. The MTDE is distinguished by introducing an adaptive …
[HTML][HTML] B-MFO: a binary moth-flame optimization for feature selection from medical datasets
Advancements in medical technology have created numerous large datasets including
many features. Usually, all captured features are not necessary, and there are redundant …
many features. Usually, all captured features are not necessary, and there are redundant …
A comprehensive review on nature inspired computing algorithms for the diagnosis of chronic disorders in human beings
Diabetes and cancer are two major life-threatening human chronic disorders that have a
high rate of disability and mortality. These diseases have been diagnosed using different …
high rate of disability and mortality. These diseases have been diagnosed using different …
CCSA: Conscious neighborhood-based crow search algorithm for solving global optimization problems
In this paper, a conscious neighborhood-based crow search algorithm (CCSA) is proposed
for solving global optimization and engineering design problems. It is a successful …
for solving global optimization and engineering design problems. It is a successful …
[HTML][HTML] Migration-based moth-flame optimization algorithm
Moth–flame optimization (MFO) is a prominent swarm intelligence algorithm that
demonstrates sufficient efficiency in tackling various optimization tasks. However, MFO …
demonstrates sufficient efficiency in tackling various optimization tasks. However, MFO …
R-GWO: Representative-based grey wolf optimizer for solving engineering problems
M Banaie-Dezfouli, MH Nadimi-Shahraki… - Applied Soft …, 2021 - Elsevier
The grey wolf optimizer (GWO) is a well-known nature-inspired algorithm, which shows a
sufficient performance for solving various optimization problems. However, it suffers from low …
sufficient performance for solving various optimization problems. However, it suffers from low …
[HTML][HTML] An improved moth-flame optimization algorithm with adaptation mechanism to solve numerical and mechanical engineering problems
Moth-flame optimization (MFO) algorithm inspired by the transverse orientation of moths
toward the light source is an effective approach to solve global optimization problems …
toward the light source is an effective approach to solve global optimization problems …