A multi-strategy improved beluga whale optimization algorithm for constrained engineering problems

X Chen, M Zhang, M Yang, D Wang - Cluster Computing, 2024 - Springer
Beluga whale optimization (BWO) has received widespread attention in scientific and
engineering domains. However, BWO suffers from limited adaptability, weak anti-stagnation …

HBWO-JS: jellyfish search boosted hybrid beluga whale optimization algorithm for engineering applications

X Yuan, G Hu, J Zhong, G Wei - Journal of Computational …, 2023 - academic.oup.com
Beluga whale optimization (BWO) algorithm is a recently proposed population intelligence
algorithm. Inspired by the swimming, foraging, and whale falling behaviors of beluga whale …

Hybrid beluga whale optimization algorithm with multi-strategy for functions and engineering optimization problems

J Huang, H Hu - Journal of Big Data, 2024 - Springer
Abstract Beluga Whale Optimization (BWO) is a new metaheuristic algorithm that simulates
the social behaviors of beluga whales swimming, foraging, and whale falling. Compared …

A sophisticated solution to numerical and engineering optimization problems using Chaotic Beluga Whale Optimizer

S Bhardwaj, S Saxena, VK Kamboj, OP Malik - Soft Computing, 2024 - Springer
Abstract Beluga Whale Optimization (BWO) metaheuristic search algorithm has recently
emerged as a promising approach to address benchmark optimization problems. However …

Novel memetic of beluga whale optimization with self-adaptive exploration–exploitation balance for global optimization and engineering problems

AG Hussien, RA Khurma, A Alzaqebah, M Amin… - Soft Computing, 2023 - Springer
A population-based optimizer called beluga whale optimization (BWO) depicts behavioral
patterns of water aerobics, foraging, and diving whales. BWO runs effectively, nevertheless it …

An enhanced associative learning-based exploratory whale optimizer for global optimization

AA Heidari, I Aljarah, H Faris, H Chen, J Luo… - Neural Computing and …, 2020 - Springer
Whale optimization algorithm (WOA) is a recent nature-inspired metaheuristic that mimics
the cooperative life of humpback whales and their spiral-shaped hunting mechanism. In this …

A novel improved whale optimization algorithm to solve numerical optimization and real-world applications

S Chakraborty, S Sharma, AK Saha, A Saha - Artificial Intelligence Review, 2022 - Springer
Whale optimization algorithm (WOA) has been developed based on the hunting behavior of
humpback whales. Though it has a considerable convergence speed, WOA suffers from …

Modified beluga whale optimization with multi-strategies for solving engineering problems

H Jia, Q Wen, D Wu, Z Wang, Y Wang… - Journal of …, 2023 - academic.oup.com
The beluga whale optimization (BWO) algorithm is a recently proposed metaheuristic
optimization algorithm that simulates three behaviors: beluga whales interacting in pairs to …

An improved multi-strategy beluga whale optimization for global optimization problems.

H Chen, Z Wang, D Wu, H Jia, C Wen… - Mathematical …, 2023 - europepmc.org
This paper presents an improved beluga whale optimization (IBWO) algorithm, which is
mainly used to solve global optimization problems and engineering problems. This …

Beluga whale optimization: A novel nature-inspired metaheuristic algorithm

C Zhong, G Li, Z Meng - Knowledge-Based Systems, 2022 - Elsevier
In this paper, a novel swarm-based metaheuristic algorithm inspired from the behaviors of
beluga whales, called beluga whale optimization (BWO), is presented to solve optimization …