A new neural network model for solving random interval linear programming problems-Reference-Cited by-同舟云学术

A new neural network model for solving random interval linear programming problems

Published:2017-05 Issue: Volume:89 Page:11-18
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Arjmandzadeh Ziba,Safi Mohammadreza^ORCID,Nazemi Alireza

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference41 articles.

1. Second-order cone programming;Alizadeh;Mathematical Programming,2003

2. Ordinary differential equations: An introduction to nonlinear analysis;Amann,1990

3. A generalization of variance model for solving random interval linear programming problems;Arjmandzadeh;International Journal of Systems Science: Operations & Logistics,2016

4. A goal programming approach for solving random interval linear programming problem;Arjmandzadeh;Turkish Journal of Mathematics,2016

5. Integrals of set-valued functions;Aumann;Journal of Mathematical Analysis and Applications,1965

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