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...
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: | |
Online Access: | https://www.mdpi.com/2071-1050/13/1/410 |
Similar Items
-
A new non-dominated sorting ions motion algorithm: Development and applications
by: Indrajit N Trivedi
Published: (2020-01-01) -
Robust Mathematical Model for Projects' Portfolio Selection and Solving with Non Dominated Sorting Genetic Algorithm II
by: Abas Fadaei, et al.
Published: (2016-04-01) -
Multi-objective single agent stochastic search in non-dominated sorting genetic algorithm
by: Algirdas Lančinskas, et al.
Published: (2013-07-01) -
A Non-dominated Sorting Ant Colony Optimization Algorithm Approach to the Bi-objective Multi-vehicle Allocation of Customers to Distribution Centers
by: Jafar Bagherinejad, et al.
Published: (2016-11-01) -
Application of a fast and elitist multi-objective genetic algorithm to Reactive Power Dispatch
by: Subramanian Ramesh, et al.
Published: (2009-01-01)