A symbiosis between population based incremental learning and LP-relaxation based parallel genetic algorithm for solving integer linear programming models-Reference-Cited by-同舟云学术

A symbiosis between population based incremental learning and LP-relaxation based parallel genetic algorithm for solving integer linear programming models

Published:2021-09-03 Issue: Volume: Page:
ISSN:0010-485X
Container-title:Computing
language:en
Short-container-title:Computing

Author:

Fallah Mohammad K,Fazlali Mahmood^ORCID,Daneshtalab Masoud

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Numerical Analysis,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00607-021-01004-x.pdf

Reference33 articles.

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4. Baluja S, Caruana R (1995) Removing the genetics from the standard genetic algorithm. Machine learning proceedings. Elsevier, Amsterdam, pp 38–46

5. Bose A, Biswas T, Kuila P (2019) A novel genetic algorithm based scheduling for multi-core systems. Smart innovations in communication and computational sciences. Springer, New York, pp 45–54

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