Title : ( A PROJECTION NEURAL NETWORK FOR SOLVING A MIXED-INTEGER PROGRAMMING )
Authors: Sohrab Effati , Amin Mansoori ,
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Abstract
Mixed Integer Programming is a powerful tool to model and solve hard combinatorial optimization problems. Chip design and verification, network design,[1] line planning, frequency assignment, various types of scheduling and many other combinatorial optimization problems have been successfully modelled as Mixed Integer Programs, shortly MIPs. We try in this paper to solve a mixed-integer programming with projection neural network.
Keywords
, mixed, integer programmnigو MIPs
@inproceedings{paperid:1041790,
author = {Effati, Sohrab and Mansoori, Amin},
title = {A PROJECTION NEURAL NETWORK FOR SOLVING A MIXED-INTEGER PROGRAMMING},
booktitle = {The 44 th Annual Iranian Mathematics Conference Ferdowsi University of Mashhad, 27-30 August 201},
year = {2013},
location = {مشهد, IRAN},
keywords = {mixed-integer programmnigو MIPs},
}
%0 Conference Proceedings
%T A PROJECTION NEURAL NETWORK FOR SOLVING A MIXED-INTEGER PROGRAMMING
%A Effati, Sohrab
%A Mansoori, Amin
%J The 44 th Annual Iranian Mathematics Conference Ferdowsi University of Mashhad, 27-30 August 201
%D 2013
