Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)

A Genetic Algorithm for Solving Knapsack Problems Based on Adaptive Evolution in Dual Population

Authors
Taishan Yan, Guanqi Guo, Hongmin Li, Wei He
Corresponding Author
Taishan Yan
Available Online May 2014.
DOI
https://doi.org/10.2991/iccia.2012.310How to use a DOI?
Keywords
Genetic algorithm, Dual population, Adaptive evalution, Knapsack problem
Abstract

In order to solve knapsack problems efficiently, an improved genetic algorithm based on adaptive evolution in dual population (called DPAGA) is proposed. In DPAGA, the new population produced by selecting operation is regarded as main population. The population composed by the individuals washed out by selecting operation is regarded as subordinate population. The individual evolution strategy of main population is different from that of subordinate population. The crossover operators and mutation operators are all adjusted non-linearly and adaptively. DPAGA is used to solve knapsack problems. The experimental results show that its convergence speed and solution quality are all better then that of simple genetic algorithm. It is also suited to solve other optimization problems.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
Series
Advances in Intelligent Systems Research
Publication Date
May 2014
ISBN
978-94-91216-41-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/iccia.2012.310How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Taishan Yan
AU  - Guanqi Guo
AU  - Hongmin Li
AU  - Wei He
PY  - 2014/05
DA  - 2014/05
TI  - A Genetic Algorithm for Solving Knapsack Problems Based on Adaptive Evolution in Dual Population
BT  - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
PB  - Atlantis Press
SP  - 1252
EP  - 1254
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccia.2012.310
DO  - https://doi.org/10.2991/iccia.2012.310
ID  - Yan2014/05
ER  -