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 …
the social behaviors of beluga whales swimming, foraging, and whale falling. Compared …
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 …
algorithm. Inspired by the swimming, foraging, and whale falling behaviors of beluga whale …
Modified beluga whale optimization with multi-strategies for solving engineering problems
The beluga whale optimization (BWO) algorithm is a recently proposed metaheuristic
optimization algorithm that simulates three behaviors: beluga whales interacting in pairs to …
optimization algorithm that simulates three behaviors: beluga whales interacting in pairs to …
An improved multi-strategy beluga whale optimization for global optimization problems.
This paper presents an improved beluga whale optimization (IBWO) algorithm, which is
mainly used to solve global optimization problems and engineering problems. This …
mainly used to solve global optimization problems and engineering problems. This …
Beluga whale optimization: A novel nature-inspired metaheuristic algorithm
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 …
beluga whales, called beluga whale optimization (BWO), is presented to solve optimization …
Development and applications of augmented whale optimization algorithm
Metaheuristics are proven solutions for complex optimization problems. Recently, bio-
inspired metaheuristics have shown their capabilities for solving complex engineering …
inspired metaheuristics have shown their capabilities for solving complex engineering …
Novel memetic of beluga whale optimization with self-adaptive exploration–exploitation balance for global optimization and engineering problems
A population-based optimizer called beluga whale optimization (BWO) depicts behavioral
patterns of water aerobics, foraging, and diving whales. BWO runs effectively, nevertheless it …
patterns of water aerobics, foraging, and diving whales. BWO runs effectively, nevertheless it …
A novel improved whale optimization algorithm to solve numerical optimization and real-world applications
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 …
humpback whales. Though it has a considerable convergence speed, WOA suffers from …
[PDF][PDF] A whale optimization algorithm with inertia weight
H Hu, Y Bai, T Xu - WSEAS Trans. Comput, 2016 - wseas.com
Whale Optimization Algorithm (WOA) is a novel nature-inspired meta-heuristic optimization
algorithm proposed by Seyedali Mirjalili and Andrew Lewis in 2016, which mimics the social …
algorithm proposed by Seyedali Mirjalili and Andrew Lewis in 2016, which mimics the social …
A hyper-heuristic for improving the initial population of whale optimization algorithm
M Abd Elaziz, S Mirjalili - Knowledge-Based Systems, 2019 - Elsevier
This paper improves the performance of the recently-proposed Whale Optimization
Algorithm (WOA). WOA is a meta-heuristic that simulates the foraging behavior of humpback …
Algorithm (WOA). WOA is a meta-heuristic that simulates the foraging behavior of humpback …