Results 161 to 170 of about 1,080 (197)

CBWO: Chaotic Beluga Whale Optimizer for Numerical and Engineering Optimization Problems

2023
Beluga Whale Optimization (BWO) is a recently developed meta-heuristics search algorithm to provide good balance between the exploration phase and the exploitation phase in solving benchmark optimization problems. However, the local search of the basic BWO algorithm has slow convergence rate due to its poor exploitation capability. We proposed a hybrid
* Shrikant, Sobhit Saxena, Vikram Kumar Kamboj   +2 more
openaire   +1 more source

Exam Suggestion System Using Beluga Whale Optimization

Concurrency and Computation: Practice and Experience
ABSTRACTIn this study, an exam recommendation system was developed using the Beluga Whale Optimization (BWO) algorithm. The system generates balanced exams by selecting the most appropriate questions from a question bank consisting of approximately 12,285 questions according to difficulty, distinctiveness, and frequency of use in previous exams.
Samet Diri, Selçuk Öğütcü, Remzi Gürfidan, Bekir Aksoy   +3 more
openaire   +1 more source

Multi-objective distributed generation hierarchical optimal planning in distribution network: Improved beluga whale optimization algorithm

Expert Systems With Applications
Kuo-Jui Wu, Kanchana Sethanan, Ming-Lang Tseng   +2 more
exaly   +2 more sources

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

Cluster Computing
Deguang Wang, Mengjian Zhang
exaly   +2 more sources

EBWO: a multi-strategy collaborative enhanced Beluga Whale Optimization algorithm

Engineering Research Express
Abstract To address the limitations of the Beluga Whale Optimization (BWO) algorithm, including insufficient population diversity, susceptibility to local optima, and room for improvement in convergence speed, this paper proposes a multi-strategy enhanced Beluga Whale Optimization (EBWO). The EBWO integrates three improvement strategies:
Junchang Liu, Yu Liu
openaire   +1 more source

Memetic Beluga Whale Optimization for Feature Selection

2023 15th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2023
Jinrui Gao, Ziqian Wang, Baohang Zhang, Zhenyu Lei, Yuki Todo, Shangce Gao   +5 more
openaire   +1 more source

Kalman Filter Based Improved Beluga Whale Optimization Algorithm

2023 13th International Conference on Information Science and Technology (ICIST), 2023
Hongbing Li, Hao Yuan, Die Zeng, Tianwen Wu, Yuning Wang, Yu Su, Baojie Zhang   +6 more
openaire   +1 more source

Energy demand forecasting using ridgelet neural networks Boosted Beluga whale optimization

Engineering Research Express
Abstract Deep learning has become increasingly popular in energy demand forecasting, due to its ability to efficiently process large amounts of data with improved accuracy. By utilizing a deep learning approach, energy demand forecasting models can capture and learn the complex patterns and relationships that exist within energy ...
Shirui Guo, Hong Ni, Dongsheng Xu, Chun Li, Ziqiang Luo, Wei Tan   +5 more
openaire   +1 more source

UAV Path Planning Method Based on Modified Beluga Whale Optimization

2023 IEEE International Conference on Unmanned Systems (ICUS), 2023
Ran Zhang, Maoyuan Li, Xiao Chen, Yuanming Ding   +3 more
openaire   +1 more source

High utility itemsets mining based on hybrid harris hawk optimization and beluga whale optimization algorithms

Journal of Intelligent & Fuzzy Systems
The commonly used high utility itemsets mining method for massive data is the intelligent optimization algorithm. In this paper, the WHO (Whale-Hawk Optimization) algorithm is proposed by integrating the harris hawk optimization (HHO) algorithm with the beluga whale optimization (BWO) algorithm.
Gao, Zhihui, Han, Meng, Liu, Shujuan, Li, Ang, Mu, Dongliang   +4 more
openaire   +1 more source