Operational planning of combined heat and power plants through genetic algorithms for mixed 0–1 nonlinear programming-Reference-Cited by-同舟云学术

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Operational planning of combined heat and power plants through genetic algorithms for mixed 0–1 nonlinear programming

Published:2015-04 Issue: Volume:56 Page:51-67
ISSN:0305-0548
Container-title:Computers & Operations Research
language:en
Short-container-title:Computers & Operations Research

Author:

Gopalakrishnan Hariharan,Kosanovic Dragoljub

Funder

U.S. Department of Energy

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Modelling and Simulation,General Computer Science

Reference31 articles.

1. Operational planning of district heating and cooling plants through genetic algorithms for mixed 0–1 linear programming;Sakawa;Eur J Operat Res,2002

2. Operational planning of district heating and cooling plants using genetic algorithms for mixed integer programming;Sakawa;Appl Soft Comput,2001

3. Operation planning of district heating and cooling plants through genetic algorithms for nonlinear 0–1 programming;Sakawa;Comput Math Appl,2001

4. A solution to the unit commitment problem—a review;Saravanan;Front Energy,2013

5. Optimal dynamic economic dispatch of generation: a review;Xia;Electr Power Syst Res,2010

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