[HTML][HTML] An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges

K Rajwar, K Deep, S Das - Artificial Intelligence Review, 2023 - Springer
As the world moves towards industrialization, optimization problems become more
challenging to solve in a reasonable time. More than 500 new metaheuristic algorithms …

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 …

[HTML][HTML] Coati Optimization Algorithm: A new bio-inspired metaheuristic algorithm for solving optimization problems

M Dehghani, Z Montazeri, E Trojovská… - Knowledge-Based …, 2023 - Elsevier
In this paper, a new metaheuristic algorithm called the Coati Optimization Algorithm (COA) is
introduced, which mimics coati behavior in nature. The fundamental idea of COA is the …

Optimization based on performance of lungs in body: Lungs performance-based optimization (LPO)

M Ghasemi, M Zare, A Zahedi, P Trojovský… - Computer Methods in …, 2024 - Elsevier
The development of efficient optimization algorithms is crucial across various scientific
disciplines. As the complexity and diversity of optimization problems continue to grow …

[HTML][HTML] A new bio-inspired metaheuristic algorithm for solving optimization problems based on walruses behavior

P Trojovský, M Dehghani - Scientific Reports, 2023 - nature.com
This paper introduces a new bio-inspired metaheuristic algorithm called Walrus Optimization
Algorithm (WaOA), which mimics walrus behaviors in nature. The fundamental inspirations …

Comprehensive taxonomies of nature-and bio-inspired optimization: Inspiration versus algorithmic behavior, critical analysis recommendations

D Molina, J Poyatos, JD Ser, S García, A Hussain… - Cognitive …, 2020 - Springer
In recent algorithmic family simulates different biological processes observed in Nature in
order to efficiently address complex optimization problems. In the last years the number of …

Single and multi-objectives based on an improved golden jackal optimization algorithm for simultaneous integration of multiple capacitors and multi-type DGs in …

MA Elseify, FA Hashim, AG Hussien, S Kamel - Applied Energy, 2024 - Elsevier
This paper proposes a novel placement technique based on the improved golden jackal
optimization (IGJO) algorithm for multiple capacitor banks (CBs) and multi-type DGs in a …

[HTML][HTML] Hippopotamus optimization algorithm: a novel nature-inspired optimization algorithm

MH Amiri, N Mehrabi Hashjin, 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 …

An optimal hybrid multiclass SVM for plant leaf disease detection using spatial Fuzzy C-Means model

SK Sahu, M Pandey - Expert systems with applications, 2023 - Elsevier
In recent times, plant disease detection and diagnosing measures become a major concern
in the agriculture field. Earlier identification of plant disease aids the farmers to take …

[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 …