dc.contributor.author |
Mavrotas, G |
en |
dc.contributor.author |
Diakoulaki, D |
en |
dc.contributor.author |
Papayannakis, L |
en |
dc.date.accessioned |
2014-03-01T01:14:23Z |
|
dc.date.available |
2014-03-01T01:14:23Z |
|
dc.date.issued |
1999 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/13039 |
|
dc.subject |
Branch and Bound Algorithm |
en |
dc.subject |
Continuous Variable |
en |
dc.subject |
Electricity Generation |
en |
dc.subject |
Integer Program |
en |
dc.subject |
Power Generation |
en |
dc.subject |
Satisfiability |
en |
dc.subject |
Multiple Objective Linear Programming |
en |
dc.title |
An energy planning approach based on mixed 0–1 Multiple Objective Linear Programming |
en |
heal.type |
journalArticle |
en |
heal.identifier.primary |
10.1016/S0969-6016(98)00056-2 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1016/S0969-6016(98)00056-2 |
en |
heal.publicationDate |
1999 |
en |
heal.abstract |
Multiple Objective Linear Programming (MOLP) models have been widely used in the energy sector for taking into account several conflicting objectives pursued in energy planning. However, continuous variables are not sufficient to accurately represent discrete phenomena encountered in many practical decision situations, such as the power generation expansion problem. This paper presents a new approach based on a mixed 0–1 |
en |
heal.journalName |
International Transactions in Operational Research |
en |
dc.identifier.doi |
10.1016/S0969-6016(98)00056-2 |
en |