Metaheuristic optimization algorithms: A comprehensive overview and classification of benchmark test functions

P Sharma, S Raju - Soft computing, 2024 - Springer
This review aims to exploit a study on different benchmark test functions used to evaluate the
performance of Meta-Heuristic (MH) optimization techniques. The performance of the MH …

Triangulation topology aggregation optimizer: A novel mathematics-based meta-heuristic algorithm for continuous optimization and engineering applications

S Zhao, T Zhang, L Cai, R Yang - Expert Systems with Applications, 2024 - Elsevier
In recent years, numerous meta-heuristic algorithms based on swarm intelligence have
been proposed and widely popularized. Although algorithms are designed by some specific …

Gannet optimization algorithm: A new metaheuristic algorithm for solving engineering optimization problems

JS Pan, LG Zhang, RB Wang, V Snášel… - … and Computers in …, 2022 - Elsevier
Engineering design problems are usually large-scale constrained optimization problems,
and metaheuristic algorithms are vital for solving such complex problems. Therefore, this …

Giant trevally optimizer (GTO): A novel metaheuristic algorithm for global optimization and challenging engineering problems

HT Sadeeq, AM Abdulazeez - Ieee Access, 2022 - ieeexplore.ieee.org
Metaheuristic algorithms are becoming powerful methods for solving continuous global
optimization and engineering problems due to their flexible implementation on the given …

Squid game optimizer (SGO): A novel metaheuristic algorithm

M Azizi, M Baghalzadeh Shishehgarkhaneh, M Basiri… - Scientific reports, 2023 - nature.com
Abstract In this paper, Squid Game Optimizer (SGO) is proposed as a novel metaheuristic
algorithm inspired by the primary rules of a traditional Korean game. Squid game is a …

Social network search for solving engineering optimization problems

H Bayzidi, S Talatahari, M Saraee… - Computational …, 2021 - Wiley Online Library
In this paper, a new metaheuristic optimization algorithm, called social network search
(SNS), is employed for solving mixed continuous/discrete engineering optimization …

[HTML][HTML] BIM-based resource tradeoff in project scheduling using fire hawk optimizer (FHO)

MB Shishehgarkhaneh, M Azizi, M Basiri, RC Moehler - Buildings, 2022 - mdpi.com
Project managers should balance a variety of resource elements in building projects while
taking into account many major concerns, including time, cost, quality, risk, and the …

Efficiency of the slime mold algorithm for damage detection of large‐scale structures

P Ghannadi, SS Kourehli - The Structural Design of Tall and …, 2022 - Wiley Online Library
Optimization‐based methods are increasingly being implemented for structural damage
detection problems through the minimization of the objective functions based on vibration …

Multiobjective atomic orbital search (MOAOS) for global and engineering design optimization

M Azizi, S Talatahari, N Khodadadi, P Sareh - IEEE Access, 2022 - ieeexplore.ieee.org
In the real world, many optimization problems have such levels of uncertainty and
complexity that a single objective function cannot represent all the characteristics of the …

[HTML][HTML] Hybrid sine cosine algorithm for solving engineering optimization problems

I Brajević, PS Stanimirović, S Li, X Cao, AT Khan… - Mathematics, 2022 - mdpi.com
Engineering design optimization problems are difficult to solve because the objective
function is often complex, with a mix of continuous and discrete design variables and various …