Search Results - subject:"optimization algorithm"

Taylor-rider-based deep convolutional neural network for image forgery detection in 3D lighting environment

Vinolin, V.; Sucharitha, M. - In: Data Technologies and Applications 56 (2021) 1, pp. 103-131

. Design/methodology/approach This paper proposes a Taylor-rider optimization algorithm-based deep convolutional neural network …-ROA is developed by integrating the Taylor series in rider optimization algorithm (ROA) for optimally tuning the DeepCNN. …

Persistent link: https://www.econbiz.de/10014712770

Bi-objective optimization of a queueing model with two-phase heterogeneous service

Wu, Chia-Huang; Yang, Dong-Yuh - In: Computers & operations research : and their … 130 (2021), pp. 1-13

Persistent link: https://www.econbiz.de/10012506534

Supplier selection problem for multiple projects with uncertain demand and project life cycles

Zheng, Meimei; Zhou, Hao; Jiang, Peng; Pan, Ershun; … - In: Computers & operations research : and their … 132 (2021), pp. 1-17

Persistent link: https://www.econbiz.de/10012595711

Feature subset selection for predicting the success of crowdfunding project campaigns

Ryoba, Michael J.; Qu, Shaojian; Zhou, Yongyi - In: Electronic markets : EM ; the international journal of … 31 (2021) 3, pp. 671-684

Persistent link: https://www.econbiz.de/10012666759

Energy and quality aware multi-objective resource allocation algorithm in cloud

Désiré, Koné Kigninman; Dhib, Eya; Tabbane, Nabil; … - In: Journal of information & knowledge management : JIKM 20 (2021) 4, pp. 2150052-1-2150052-26

Persistent link: https://www.econbiz.de/10012669593

Prepositioning and distributing relief items in humanitarian logistics with uncertain parameters

Abazari, Seyed Reza; Aghsami, Amir; Rabbani, Masoud - In: Socio-economic planning sciences : the international … 74 (2021), pp. 1-17

Persistent link: https://www.econbiz.de/10012502349

Multi-layered coding-based study on optimization algorithms for automobile production logistics scheduling

Guo, Yue; Tailai, Guo; Dan, Wei - In: Technological forecasting & social change : an … 170 (2021), pp. 1-14

Persistent link: https://www.econbiz.de/10012806016

An optimization-based deep belief network for the detection of phishing e-mails

M., Arshey; K. S., Angel Viji - In: Data Technologies and Applications 54 (2020) 4, pp. 529-549

preventing phishing by proposing an optimization algorithm. The proposed approach involves four steps, namely preprocessing … belief network (DBN) that is trained using the proposed fractional-earthworm optimization algorithm (EWA). The proposed …

Persistent link: https://www.econbiz.de/10014712620

A novel speech emotion recognition model using mean update of particle swarm and whale optimization-based deep belief network

B, Rajasekhar; M, Kamaraju; V, Sumalatha - In: Data Technologies and Applications 54 (2020) 3, pp. 297-322

attains high accuracy rate (for best case) when compared to other methods, and it is 1.02% superior to whale optimization … algorithm (WOA), 0.32% better from firefly (FF), 23.45% superior to particle swarm optimization (PSO) and 23.41% superior to …

Persistent link: https://www.econbiz.de/10014712705

Mutation reduction in software mutation testing using firefly optimization algorithm

Shomali, Nasrin; Arasteh, Bahman - In: Data Technologies and Applications 54 (2020) 4, pp. 461-480

, a firefly optimization algorithm is used for identifying the most fault-prone paths of a program; then, the mutation … the error-prone (complex) paths of a program is an NP-hard problem. In the proposed method, a firefly optimization … algorithm as a heuristic algorithm is used for identifying the most error-prone paths of a program; then, the mutation operators …

Persistent link: https://www.econbiz.de/10014712724