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: | Dhiranuch Bunnag, Min Sun |
---|---|
格式: | 雜誌 |
出版: |
2018
|
主題: | |
在線閱讀: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=28544431906&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/62287 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Genetic algorithm for constrained global optimization in continuous variables
由: Bunnag D., et al.
出版: (2014) -
A comparison of continuous genetic algorithm and particle swarm optimization in parameter estimation of Gompertz growth model
由: Windarto, ,-, et al. -
A comparison of continuous genetic algorithm and particle swarm optimization in parameter estimation of Gompertz growth model
由: Windarto, et al.
出版: (2018) -
Constrained multiobjective global optimisation of longitudinal interconnected power system by genetic algorithm
由: Xu, J.X., et al.
出版: (2014) -
An Improvement of Genetic Algorithm with Rao Algorithm for Optimization Problems
由: Sakkayaphop Pravesjit, et al.
出版: (2022)