Emended snake optimizer to solve multiobjective hybrid energy generation scheduling
This paper proposes an emended snake optimizer (ESO) for solving hydrothermal, pumped hydro, and solar generators’ non-convex, highly constrained, and non-linear power generation scheduling problem. The generation scheduling problem aims to reduce thermal generator operating costs and pollutants by...
Saved in:
Main Authors: | Kaur Avneet, Dhillon J.S., Singh Manmohan |
---|---|
Format: | Article |
Language: | English |
Published: |
University of Belgrade
2024-01-01
|
Series: | Yugoslav Journal of Operations Research |
Subjects: | |
Online Access: | https://doiserbia.nb.rs/img/doi/0354-0243/2024/0354-02432400018K.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A multi-strategy improved snake optimizer and its application to SVM parameter selection
by: Hong Lu, et al.
Published: (2024-10-01) -
A quasi-opposition learning and chaos local search based on walrus optimization for global optimization problems
by: Yier Li, et al.
Published: (2025-01-01) -
Multi-Objective Optimization Techniques in Cloud Task Scheduling: A Systematic Literature Review
by: Olanrewaju L. Abraham, et al.
Published: (2025-01-01) -
Hyper-Heuristics and Scheduling Problems: Strategies, Application Areas, and Performance Metrics
by: Alonso Vela, et al.
Published: (2025-01-01) -
Optimization Techniques in Electric Vehicle Charging Scheduling, Routing and Spatio-Temporal Demand Coordination: A Systematic Review
by: Eiman Elghanam, et al.
Published: (2024-01-01)