Solving the short-term electrical generation scheduling problem by an adaptive evolutionary approach

DOI10.1016/j.ejor.2005.03.074zbMath1144.90389OpenAlexW2130488936MaRDI QIDQ863981

Jorge Maturana, María-Cristina Riff

Publication date: 12 February 2007

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2005.03.074

zbMATH Keywords

evolutionary computationsreal-world problemsshort-term electrical generation scheduling

Mathematics Subject Classification ID

Deterministic scheduling theory in operations research (90B35)

Related Items (1)

Machine learning at the service of meta-heuristics for solving combinatorial optimization problems: a state-of-the-art

Uses Software

• Genocop

Cites Work

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• Solving the unit commitment problem by a unit decommitment method
• Short-Term Scheduling of Thermal-Electric Generators Using Lagrangian Relaxation
• An Application of Lagrangian Relaxation to Scheduling in Power-Generation Systems
• A separable approximation dynamic programming algorithm for economic dispatch with transmission losses

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