Operational planning of combined heat and power plants through genetic algorithms for mixed 0-1 nonlinear programming
DOI10.1016/j.cor.2014.11.001zbMath1348.90265OpenAlexW2023606609MaRDI QIDQ337450
Dragoljub Kosanovic, Hariharan Gopalakrishnan
Publication date: 10 November 2016
Published in: Computers \& Operations Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cor.2014.11.001
Numerical mathematical programming methods (65K05) Applications of mathematical programming (90C90) Mixed integer programming (90C11) Deterministic scheduling theory in operations research (90B35) Approximation methods and heuristics in mathematical programming (90C59)
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Cites Work
- Planning the production of a fleet of domestic combined heat and power generators
- Non-convex power plant modelling in energy optimisation
- A review of recent advances in global optimization
- A real coded genetic algorithm for solving integer and mixed integer optimization problems
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- An efficient envelope-based branch and bound algorithm for non-convex combined heat and power production planning
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