Intelligent optimization: Literature review and state-of-the-art algorithms (1965–2022)

A Mohammadi, F Sheikholeslam - Engineering Applications of Artificial …, 2023 - Elsevier
Today, intelligent optimization has become a science that few researchers have not used in
dealing with problems in their field. Diversity and flexibility have made the use, efficiency …

Nature-inspired metaheuristic search algorithms for optimizing benchmark problems: inclined planes system optimization to state-of-the-art methods

A Mohammadi, F Sheikholeslam, S Mirjalili - Archives of Computational …, 2023 - Springer
In the literature, different types of inclined planes system optimization (IPO) algorithms have
been proposed and evaluated in various applications. Due to the large number of variants …

[PDF][PDF] Skill Optimization Algorithm: A New Human-Based Metaheuristic Technique.

H Givi, M Hubalovska - Computers, Materials & Continua, 2023 - pdfs.semanticscholar.org
Metaheuristic algorithms are widely used in solving optimization problems. In this paper, a
new metaheuristic algorithm called Skill Optimization Algorithm (SOA) is proposed to solve …

[PDF][PDF] Archery algorithm: A novel stochastic optimization algorithm for solving optimization problems

V Leiva, G Dhiman - energy, 2022 - researchgate.net
Finding a suitable solution to an optimization problem designed in science is a major
challenge. Therefore, these must be addressed utilizing proper approaches. Based on a …

[PDF][PDF] Billiards Optimization Algorithm: A New Game-Based Metaheuristic Approach.

H Givi, M Hubálovská - Computers, Materials & Continua, 2023 - cdn.techscience.cn
Metaheuristic algorithms are one of the most widely used stochastic approaches in solving
optimization problems. In this paper, a new metaheuristic algorithm entitled Billiards …

[PDF][PDF] SSABA: Search Step Adjustment Based Algorithm.

FA Zeidabadi, A Dehghani, M Dehghani… - … Materials & Continua, 2022 - cdn.techscience.cn
Finding the suitable solution to optimization problems is a fundamental challenge in various
sciences. Optimization algorithms are one of the effective stochastic methods in solving …

[PDF][PDF] An Application of Hunter-Prey Optimization for Maximizing Photovoltaic Hosting Capacity Along with Multi-Objective Optimization in Radial Distribution Network.

SR Inkollu, GV Anjaneyulu, K NC, NK CH - International Journal of …, 2022 - inass.org
Currently global warming is increasing significantly around the world and become one of the
typical issues for sustainability. In this connection, many sectors are transforming towards …

[PDF][PDF] Prime Learning Ant Lion Optimization with Precoding and Companding for PAPR Reduction in MIMO-OFDM.

A Azeez, S Tarannum - International Journal of Intelligent Engineering & …, 2022 - inass.org
To meet the increasing demand for wireless applications requires efficient performance in
orthogonal frequency division multiplexing (OFDM) and multi-input multi-output (MIMO). The …

White Shark Optimizer for Multi-Objective Optimal Allocation of Photovoltaic Distribution Generation in Electrical Distribution Networks Considering Different Kinds of …

K NC, R Patil, NK CH - International Journal of Intelligent …, 2022 - search.ebscohost.com
In recent times, reduction of greenhouse gas (GHG) emission in conventional power grids
becomes most important towards global sustainability. Thus, adaption of renewable energy …