Modelling of hydrothermal unit commitment coordination using efficient metaheuristic algorithm: a hybridized approach

DOI10.1155/2016/4529836OpenAlexW2564349290WikidataQ59129515 ScholiaQ59129515MaRDI QIDQ1659207

Nidul Sinha, Suman Sutradhar, Nalin B. Dev Choudhury

Publication date: 15 August 2018

Published in: Journal of Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2016/4529836

Mathematics Subject Classification ID

Mixed integer programming (90C11) Stochastic programming (90C15) Approximation methods and heuristics in mathematical programming (90C59)

Uses Software

• ABC
• GWO

Cites Work

• Combining sampling-based and scenario-based nested Benders decomposition methods: application to stochastic dual dynamic programming
• Dynamic convexification within nested Benders decomposition using Lagrangian relaxation: an application to the strategic bidding problem
• A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm

This page was built for publication: Modelling of hydrothermal unit commitment coordination using efficient metaheuristic algorithm: a hybridized approach