Suchergebnisse - "Puma optimizer algorithm"

Dynamic appliance scheduling and energy management in smart homes using adaptive reinforcement learning techniques

Autoren: Poonam Saroha Gopal Singh Umesh Kumar Lilhore et al.

Quelle: Scientific Reports, Vol 15, Iss 1, Pp 1-26 (2025)

Schlagwörter: Demand response, Deep Q network, Self-adaptive Puma optimizer algorithm, Energy consumption, Appliance scheduling, Medicine, Science

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2045-2322

Zugangs-URL: https://doaj.org/article/6fbeaeb7f96a4e9aa1d820811ecaf388

Chaotic Puma Optimizer Algorithm for controlling wheeled mobile robots

Autoren: Mohamed Kmich Nawal El Ghouate Ahmed Bencharqui et al.

Quelle: Engineering Science and Technology, an International Journal, Vol 63, Iss , Pp 101982- (2025)

Schlagwörter: Chaotic maps, Optimization engineering problems, Puma optimizer algorithm, Wheeled mobile robot, Engineering (General). Civil engineering (General), TA1-2040

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2215098625000370; https://doaj.org/toc/2215-0986

Zugangs-URL: https://doaj.org/article/3bfb0d08bc364d1b90cf6e1d190ede7f

A New Approach Based on Metaheuristic Optimization Using Chaotic Functional Connectivity Matrices and Fractal Dimension Analysis for AI-Driven Detection of Orthodontic Growth and Development Stage

Autoren: Orhan Cicek Yusuf Bahri Özçelik Aytaç Altan

Quelle: Fractal and Fractional ; Volume 9 ; Issue 3 ; Pages: 148

Schlagwörter: cervical vertebrae, growth and development, chaotic and fractal functional connectivity matrices, fractal dimension analysis, artificial intelligence, metaheuristic Puma optimizer algorithm

Dateibeschreibung: application/pdf

Relation: Engineering; https://dx.doi.org/10.3390/fractalfract9030148

Verfügbarkeit: https://doi.org/10.3390/fractalfract9030148

Nonparametric Modelling of Ship Dynamics Using Puma Optimizer Algorithm-Optimized Twin Support Vector Regression

Autoren: Lichao Jiang Zhi Zhang Lingyun Lu et al.

Quelle: Journal of Marine Science and Engineering, Vol 12, Iss 5, p 754 (2024)

Schlagwörter: ship dynamics, twin support vector regression, puma optimizer algorithm, nonparametric modelling, ship manoeuvring motion, Naval architecture. Shipbuilding. Marine engineering, VM1-989, Oceanography, GC1-1581

Relation: https://www.mdpi.com/2077-1312/12/5/754; https://doaj.org/toc/2077-1312; https://doaj.org/article/0277ae9584d745ad835986bb3fdb9326

Verfügbarkeit: https://doi.org/10.3390/jmse12050754
https://doaj.org/article/0277ae9584d745ad835986bb3fdb9326