Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
9506231 | Applied Mathematics and Computation | 2005 | 33 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Dhiranuch Bunnag, Min Sun,