Heuristic algorithms for the inverse mixed integer linear programming problem

The recent development in inverse optimization, in particular the extension from the inverse linear programming problem to the inverse mixed integer linear programming problem (InvMILP), provides more powerful modeling tools but also presents more challenges to the design of efficient solution techn...

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Vydané v:	Journal of global optimization Ročník 51; číslo 3; s. 463 - 471
Hlavní autori:	Duan, Zhaoyang, Wang, Lizhi
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Boston Springer US 01.11.2011 Springer Nature B.V
Predmet:	Algorithms Computer Science Design Heuristic Linear programming Mathematics Mathematics and Statistics Operations Research/Decision Theory Optimization Parallel processing Real Functions Renewable resources Studies Subsidies Tax credits Parallel computing Inverse optimization Mixed integer linear programming
ISSN:	0925-5001, 1573-2916
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