Operational planning of district heating and cooling plants through genetic algorithms for mixed 0-1 linear programming

DOI10.1016/S0377-2217(01)00095-9zbMath1030.90072WikidataQ126778403 ScholiaQ126778403MaRDI QIDQ1600879

Masatoshi Sakawa, Satoshi Ushiro, Kosuke Kato

Publication date: 16 June 2002

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

zbMATH Keywords

genetic algorithmsoperational planningmixed 0-1 linear programmingdistrict heating and cooling plant

Mathematics Subject Classification ID

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

Related Items (5)

An improved unit decommitment algorithm for combined heat and power systems ⋮ Optimization models for a single-plant district cooling system ⋮ Operational planning of combined heat and power plants through genetic algorithms for mixed 0-1 nonlinear programming ⋮ Fuzzy multiobjective nonlinear operation planning in district heating and cooling plants ⋮ A variant of the dynamic programming algorithm for unit commitment of combined heat and power systems

Uses Software

• Genocop

Cites Work

• Fuzzy programming for multiobjective 0-1 programming problems through revised genetic algorithms
• An interactive fuzzy satisfying method for multiobjective 0-1 programming problems with fuzzy numbers through genetic algorithms with double strings
• A tree-search algorithm for mixed integer programming problems
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