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Getting solution status as Unknown status value in callback (lazyconstraints) for docplex with Python to solve MILP

SecretAgentMan

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modified 14 hours ago

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2 answers

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constraint set for a scheduling problem with machine availability

CommunityBot

1

modified 2 days ago

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1 answer

124 views

How to avoid division by zero with a binary variable at the denominator in a network assignment problem?

Mark L. Stone

13.5k

modified 2 days ago

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Cost Function in a Gas Market Model

Apostolos

31

asked 2 days ago

1 vote

1 answer

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MILP Model for Assigning Unique Number for Each Point

RobPratt

33k

modified Jul 2 at 15:43

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Minimize Expenses For Workers

CommunityBot

1

modified Jul 1 at 13:08

4 votes

1 answer

250 views

"Rank 1" type constraint $X=vw^\top$: MILP representation? Convex relaxation? Other tractable approach?

Royi

103

modified Jun 30 at 21:50

2 votes

2 answers

483 views

Can I tell a MILP solver to prefer solutions with fewer fractions?

SecretAgentMan

1,895

modified Jun 30 at 19:06

2 votes

1 answer

59 views

Optimization under cardinality constraint

Royi

103

answered Jun 28 at 18:22

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1 answer

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Adding additional coordinating constraint to a decomposed model

CommunityBot

1

modified Jun 27 at 19:07

1 vote

1 answer

54 views

The first reference which formulated k-means problem as MIQCP using big-M constraint

Brannon

920

answered Jun 26 at 21:49

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Limit the time in the root node

Angelo Aliano Filho

235

asked Jun 25 at 15:25

2 votes

1 answer

54 views

Optimal way to formulate a piecewise linear function

prubin♦

39.8k

modified Jun 24 at 19:53

8 votes

1 answer

131 views

Is there any way to use Lazy constraints in Pyomo?

CommunityBot

1

modified Jun 23 at 20:00

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Getting solution status as Unknown status value in callback (lazyconstraints) for docplex with Python to solve MILP

constraint set for a scheduling problem with machine availability

How to avoid division by zero with a binary variable at the denominator in a network assignment problem?

Cost Function in a Gas Market Model

MILP Model for Assigning Unique Number for Each Point

Minimize Expenses For Workers

"Rank 1" type constraint $X=vw^\top$: MILP representation? Convex relaxation? Other tractable approach?

Can I tell a MILP solver to prefer solutions with fewer fractions?

Optimization under cardinality constraint

Adding additional coordinating constraint to a decomposed model

The first reference which formulated k-means problem as MIQCP using big-M constraint

Limit the time in the root node

Optimal way to formulate a piecewise linear function

Is there any way to use Lazy constraints in Pyomo?

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