Genetic algorithm for constrained global optimization in continuous variables
We present a stochastic global optimization algorithm, referred to as a Genetic Algorithm (GA), for solving constrained optimization problems over a compact search domain. It is a real-coded GA that converges in probability to the optimal solution. The constraints are treated through a repair operat...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Journal |
| Published: |
2018
|
| Subjects: | |
| Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=28544431906&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/62287 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Chiang Mai University |
| id |
th-cmuir.6653943832-62287 |
|---|---|
| record_format |
dspace |
| spelling |
th-cmuir.6653943832-622872018-09-11T09:25:09Z Genetic algorithm for constrained global optimization in continuous variables Dhiranuch Bunnag Min Sun Mathematics We present a stochastic global optimization algorithm, referred to as a Genetic Algorithm (GA), for solving constrained optimization problems over a compact search domain. It is a real-coded GA that converges in probability to the optimal solution. The constraints are treated through a repair operator. A specific repair operator is included for linear inequality constraints. © 2005 Elsevier Inc. All rights reserved. 2018-09-11T09:25:09Z 2018-09-11T09:25:09Z 2005-12-01 Journal 00963003 2-s2.0-28544431906 10.1016/j.amc.2005.01.075 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=28544431906&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/62287 |
| institution |
Chiang Mai University |
| building |
Chiang Mai University Library |
| country |
Thailand |
| collection |
CMU Intellectual Repository |
| topic |
Mathematics |
| spellingShingle |
Mathematics Dhiranuch Bunnag Min Sun Genetic algorithm for constrained global optimization in continuous variables |
| description |
We present a stochastic global optimization algorithm, referred to as a Genetic Algorithm (GA), for solving constrained optimization problems over a compact search domain. It is a real-coded GA that converges in probability to the optimal solution. The constraints are treated through a repair operator. A specific repair operator is included for linear inequality constraints. © 2005 Elsevier Inc. All rights reserved. |
| format |
Journal |
| author |
Dhiranuch Bunnag Min Sun |
| author_facet |
Dhiranuch Bunnag Min Sun |
| author_sort |
Dhiranuch Bunnag |
| title |
Genetic algorithm for constrained global optimization in continuous variables |
| title_short |
Genetic algorithm for constrained global optimization in continuous variables |
| title_full |
Genetic algorithm for constrained global optimization in continuous variables |
| title_fullStr |
Genetic algorithm for constrained global optimization in continuous variables |
| title_full_unstemmed |
Genetic algorithm for constrained global optimization in continuous variables |
| title_sort |
genetic algorithm for constrained global optimization in continuous variables |
| publishDate |
2018 |
| url |
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=28544431906&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/62287 |
| _version_ |
1681425778681577472 |