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» Genetic Programming Applied to Mixed Integer Programming
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GECCO
2007
Springer
300views Optimization» more  GECCO 2007»
15 years 3 months ago
A NSGA-II, web-enabled, parallel optimization framework for NLP and MINLP
Engineering design increasingly uses computer simulation models coupled with optimization algorithms to find the best design that meets the customer constraints within a time con...
David J. Powell, Joel K. Hollingsworth
ICMAS
2000
14 years 10 months ago
Integer Programming for Combinatorial Auction Winner Determination
Combinatorial auctions are important as they enable bidders to place bids on combinations of items; compared to other auction mechanisms, they often increase the efficiency of the...
Arne Andersson, Mattias Tenhunen, Fredrik Ygge
ENDM
2010
115views more  ENDM 2010»
14 years 6 months ago
On the knapsack closure of 0-1 Integer Linear Programs
Many inequalities for Mixed-Integer Linear Programs (MILPs) or pure Integer Linear Programs (ILPs) are derived from the Gomory corner relaxation, where all the nonbinding constrai...
Matteo Fischetti, Andrea Lodi
SIAMJO
2010
135views more  SIAMJO 2010»
14 years 7 months ago
On the Complexity of Selecting Disjunctions in Integer Programming
The imposition of general disjunctions of the form “πx ≤ π0 ∨ πx ≥ π0 + 1”, where π, π0 are integer valued, is a fundamental operation in both the branch-and-bound...
Ashutosh Mahajan, Ted K. Ralphs
GECCO
2004
Springer
147views Optimization» more  GECCO 2004»
15 years 2 months ago
A Demonstration of Neural Programming Applied to Non-Markovian Problems
Genetic programming may be seen as a recent incarnation of a long-held goal in evolutionary computation: to develop actual computational devices through evolutionary search. Geneti...
Gabriel Catalin Balan, Sean Luke