Metaheuristics for solving global and engineering optimization problems: review, applications, open issues and challenges

EH Houssein, MK Saeed, G Hu… - Archives of Computational …, 2024 - Springer
The greatest and fastest advances in the computing world today require researchers to
develop new problem-solving techniques capable of providing an optimal global solution …

Golf optimization algorithm: A new game-based metaheuristic algorithm and its application to energy commitment problem considering resilience

Z Montazeri, T Niknam, J Aghaei, OP Malik… - Biomimetics, 2023 - mdpi.com
In this research article, we uphold the principles of the No Free Lunch theorem and employ it
as a driving force to introduce an innovative game-based metaheuristic technique named …

Hippopotamus optimization algorithm: a novel nature-inspired optimization algorithm

MH Amiri, N Mehrabi Hash**, M Montazeri… - Scientific Reports, 2024 - nature.com
The novelty of this article lies in introducing a novel stochastic technique named the
Hippopotamus Optimization (HO) algorithm. The HO is conceived by drawing inspiration …

[HTML][HTML] Metaheuristics and multi-criteria decision-making for renewable energy systems: Review, progress, bibliometric analysis, and contribution to the sustainable …

H Rezk, AG Olabi, M Mahmoud, T Wilberforce… - Ain Shams Engineering …, 2024 - Elsevier
Achieving sustainable development goals requires integrating renewable energy systems
(RESs) into our current energy infrastructure. However, sophisticated approaches are …

Kookaburra optimization algorithm: a new bio-inspired metaheuristic algorithm for solving optimization problems

M Dehghani, Z Montazeri, G Bektemyssova, OP Malik… - Biomimetics, 2023 - mdpi.com
In this paper, a new bio-inspired metaheuristic algorithm named the Kookaburra
Optimization Algorithm (KOA) is introduced, which imitates the natural behavior of …

[HTML][HTML] Gaussian bare-bones Levy circulatory system-based optimization for power flow in the presence of renewable units

M Ghasemi, P Trojovský, E Trojovská, M Zare - Engineering Science and …, 2023 - Elsevier
Abstract The Optimal Power Flow (OPF) is a vital issue in electrical networks to ensure the
economical and safe operation to transfer electrical energy that is very complex, non-linear …

[PDF][PDF] Football optimization algorithm (fboa): A novel metaheuristic inspired by team strategy dynamics

ESM El-Kenawy, FH Rizk, AM Zaki… - J. Artif. Intell …, 2024 - researchgate.net
Abstract The Football Optimization Algorithm (FbOA) is introduced as a novel population-
based metaheuristic optimization technique inspired by the dynamic strategies of a football …

The moss growth optimization (MGO): concepts and performance

B Zheng, Y Chen, C Wang, AA Heidari… - Journal of …, 2024 - academic.oup.com
Metaheuristic algorithms are increasingly utilized to solve complex optimization problems
because they can efficiently explore large solution spaces. The moss growth optimization …

OOBO: a new metaheuristic algorithm for solving optimization problems

M Dehghani, E Trojovská, P Trojovský, OP Malik - Biomimetics, 2023 - mdpi.com
This study proposes the One-to-One-Based Optimizer (OOBO), a new optimization
technique for solving optimization problems in various scientific areas. The key idea in …

A hierarchical multi-leadership sine cosine algorithm to dissolving global optimization and data classification: The COVID-19 case study

M Zhong, J Wen, J Ma, H Cui, Q Zhang… - Computers in Biology and …, 2023 - Elsevier
Abstract The Sine Cosine Algorithm (SCA) is an outstanding optimizer that is appreciably
used to dissolve complicated real-world problems. Nevertheless, this algorithm lacks …