Operational planning of combined heat and power plants through genetic algorithms for mixed 0–1 nonlinear programming
Work
Year: 2014
Type: article
Source: Computers & Operations Research
Institution University of Massachusetts Amherst
Cites: 30
Cited by: 38
Related to: 10
FWCI: 3.287
Citation percentile (by year/subfield): 83.44
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Sustainable Development Goal Affordable and clean energy
Open Access status: closed
Grant IDS DE-EE0005528, DE-EE0006279