scholarly journals A Mixed-Integer Linear Programming Formulation for Human Multi-Robot Task Allocation

2021 ◽  
Author(s):  
Martina Lippi ◽  
Alessandro Marino
Keyword(s):  
Linear Programming ◽  
Integer Linear Programming ◽  
Task Allocation ◽  
Mixed Integer Linear Programming ◽  
Mixed Integer ◽  
Programming Formulation ◽  
Linear Programming Formulation ◽  
Robot Task ◽  
Integer Linear Programming Formulation ◽  
Multi Robot

A new mixed integer linear programming formulation for the maximum degree bounded connected subgraph problem

2016 ◽  
Vol 99 (113) ◽  
pp. 99-108
Author(s):  
Zoran Maksimovic
Keyword(s):  
Linear Programming ◽  
Integer Linear Programming ◽  
Mixed Integer Linear Programming ◽  
Maximum Degree ◽  
Mixed Integer ◽  
Connected Subgraph ◽  
Programming Formulation ◽  
Reasonable Time ◽  
Linear Programming Formulation ◽  
Integer Linear Programming Formulation

We give a new mixed integer linear programming (MILP) formulation for Maximum Degree Bounded Connected Subgraph Problem (MDBCSP). The proposed MILP formulation is the first in literature with polynomial number of constraints. Therefore, it will be possible to solve optimally much more instances before in a reasonable time.

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