Results 141 to 150 of about 533 (182)

Deep residual and hybrid CNN models for confidence-aware real-world waste classification for sustainable waste management. [PDF]

Sci Rep
Kumar Y, Bhardwaj P, Malhotra S, Prasad A, Kim W, Ijaz MF.   +5 more
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Beluga whale optimization: A novel nature-inspired metaheuristic algorithm

Knowledge-Based Systems, 2022
Changting Zhong, Zeng Meng
exaly   +2 more sources

A survey of Beluga whale optimization and its variants: Statistical analysis, advances, and structural reviewing

Computer Science Review
Optimization, as a fundamental pillar in engineering, computer science, economics, and many other fields, plays a decisive role in improving the performance of systems and achieving desired goals. Optimization problems involve many variables, various constraints, and nonlinear objective functions.
Amir Haider, Amir Masoud Rahmani, Bahman Arasteh   +2 more
exaly   +3 more sources

An Enhanced Beluga Whale Optimization Algorithm for Engineering Optimization Problems

Journal of Systems Science and Systems Engineering
Parul Punia, Amit Raj, Pawan Kumar
exaly   +2 more sources

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
null Shrikant, Sobhit Saxena, Vikram Kumar Kamboj   +2 more
openaire   +1 more source

Optimal loading distribution of chillers based on an improved beluga whale optimization for reducing energy consumption

Energy and Buildings
Jiayi Gao, Junfei Guo, Xiaohu Yang
exaly   +2 more sources

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 Ögütcü, Remzi Gürfidan, Bekir Aksoy   +3 more
openaire   +2 more sources

NHBBWO: A novel hybrid butterfly-beluga whale optimization algorithm with the dynamic strategy for WSN coverage optimization

Peer-to-Peer Networking and Applications
Mengjian Zhang, Deguang Wang
exaly   +2 more sources

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

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