A comprehensive study on modern optimization techniques for engineering applications

S Selvarajan - Artificial Intelligence Review, 2024 - Springer
Rapid industrialization has fueled the need for effective optimization solutions, which has led
to the widespread use of meta-heuristic algorithms. Among the repertoire of over 600, over …

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 …

Software effort estimation modeling and fully connected artificial neural network optimization using soft computing techniques

S Kassaymeh, M Alweshah, MA Al-Betar… - Cluster …, 2024 - Springer
In software engineering, the planning and budgeting stages of a software project are of great
importance to all stakeholders, including project managers as well as clients. The estimated …

Bobcat Optimization Algorithm: an effective bio-inspired metaheuristic algorithm for solving supply chain optimization problems

Z Benmamoun, K Khlie, G Bektemyssova… - Scientific Reports, 2024 - nature.com
Supply chain efficiency is a major challenge in today's business environment, where efficient
resource allocation and coordination of activities are essential for competitive advantage …

Improved sandcat swarm optimization algorithm for solving global optimum problems

H Jia, J Zhang, H Rao, L Abualigah - Artificial Intelligence Review, 2024 - Springer
The sand cat swarm optimization algorithm (SCSO) is a metaheuristic algorithm proposed by
Amir Seyyedabbasi et al. SCSO algorithm mimics the predatory behavior of sand cats, which …

HWMWOA: A Hybrid WMA–WOA algorithm with adaptive cauchy mutation for global optimization and data classification

J Zhang, H Li, MK Parizi - International Journal of Information …, 2023 - World Scientific
Combinatorial metaheuristic optimization algorithms have newly become a remarkable
domain for handling real-world and engineering design optimization problems. In this paper …

An improved sand cat swarm optimization with lens opposition-based learning and sparrow search algorithm

Y Cai, C Guo, X Chen - Scientific Reports, 2024 - nature.com
The sand cat swarm optimization (SCSO) is a recently proposed meta-heuristic algorithm. It
inspires hunting behavior with sand cats based on hearing ability. However, in the later …

A multi-strategy slime mould algorithm for solving global optimization and engineering optimization problems

W Wang, W Tao, W Tian, H Zang - Evolutionary Intelligence, 2024 - Springer
Aiming at the problems of slow convergence, low accuracy, and easy to fall into local
optimum of the slime mould algorithm (SMA), we propose an improved SMA (OJESMA) …

GWMA: the parallel implementation of woodpecker mating algorithm on the GPU

J Gong, M Karimzadeh Parizi - Journal of the Chinese Institute of …, 2022 - Taylor & Francis
ABSTRACT The Woodpecker Mating Algorithm (WMA) is a new metaheuristic algorithm
(MA) with high efficiency in solving optimization problems. Nevertheless, WMA needs many …

Escape after love: Philoponella prominens optimizer and its application to 3D path planning

Y Gao, J Wang, C Li - Cluster Computing, 2025 - Springer
Abstract According to the No Free Lunch theorem, we need to propose new metaheuristic
algorithms with different optimization behaviors to better solve global optimization problems …