An Evaluation on Wind Energy Potential Using Multi-Objective Optimization-Based Non-Dominated Sorting Genetic Algorithm III

An Evaluation on Wind Energy Potential Using Multi-Objective Optimization-Based Non-Dominated Sorting Genetic Algorithm III

Wind energy is an abundant renewable energy resource that has been extensively used worldwide in recent years. The present work proposes a new Multi-Objective Optimization (MOO) based genetic algorithm (GA) model for a wind energy system. The proposed algorithm consists of non-dominated sorting whic...

Full description

Bibliographic Details
Main Authors: Senthilkumar Subramanian, Chandramohan Sankaralingam, Rajvikram Madurai Elavarasan, Raghavendra Rajan Vijayaraghavan, Kannadasan Raju, Lucian Mihet-Popa
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Sustainability
Subjects:
dominating and non-dominated sorting
genetic algorithm
multi-objective optimization (MOO)
single-objective optimization
wind energy system
Online Access:https://www.mdpi.com/2071-1050/13/1/410

Internet

https://www.mdpi.com/2071-1050/13/1/410

Similar Items