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 …

A review on the studies employing artificial bee colony algorithm to solve combinatorial optimization problems

E Kaya, B Gorkemli, B Akay, D Karaboga - Engineering Applications of …, 2022 - Elsevier
The ABC algorithm is one of the popular optimization algorithms and has been used
successfully in solving many real-world problems. Numeric, binary, integer, mixed integer …

Walrus optimizer: A novel nature-inspired metaheuristic algorithm

M Han, Z Du, KF Yuen, H Zhu, Y Li, Q Yuan - Expert Systems with …, 2024 - Elsevier
Metaheuristic algorithms are intelligent optimization approaches that lead the searching
procedure through utilizing exploitation and exploration. The increasing complexity of real …

Snake Optimizer: A novel meta-heuristic optimization algorithm

FA Hashim, AG Hussien - Knowledge-Based Systems, 2022 - Elsevier
In recent years, several metaheuristic algorithms have been introduced in engineering and
scientific fields to address real-life optimization problems. In this study, a novel nature …

Waterwheel plant algorithm: a novel metaheuristic optimization method

AA Abdelhamid, SK Towfek, N Khodadadi… - Processes, 2023 - mdpi.com
Attempting to address optimization problems in various scientific disciplines is a
fundamental and significant difficulty requiring optimization. This study presents 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 …

Hybrid approaches to optimization and machine learning methods: a systematic literature review

BF Azevedo, AMAC Rocha, AI Pereira - Machine Learning, 2024 - Springer
Notably, real problems are increasingly complex and require sophisticated models and
algorithms capable of quickly dealing with large data sets and finding optimal solutions …

Marine Predators Algorithm: A nature-inspired metaheuristic

A Faramarzi, M Heidarinejad, S Mirjalili… - Expert systems with …, 2020 - Elsevier
This paper presents a nature-inspired metaheuristic called Marine Predators Algorithm
(MPA) and its application in engineering. The main inspiration of MPA is the widespread …

Exploring temperature-resilient recycled aggregate concrete with waste rubber: An experimental and multi-objective optimization analysis

Y Tang, Y Wang, D Wu, M Chen, L Pang… - Reviews on Advanced …, 2023 - degruyter.com
For low-carbon sustainability, recycled rubber particles (RPs) and recycled aggregate (RA)
could be used to make rubber-modified recycled aggregate concrete (RRAC). The …

[HTML][HTML] Artificial intelligence for trusted autonomous satellite operations

K Thangavel, R Sabatini, A Gardi, K Ranasinghe… - Progress in Aerospace …, 2024 - Elsevier
Abstract Recent advances in Artificial Intelligence (AI) and Cyber-Physical Systems (CPS)
for aerospace applications have brought about new opportunities for the fast-growing …