| Course Code | Course Name | Credits | Hours |
|---|---|---|---|
| 4805025 | Quantitative Logistic | 3.0 | 3 |
| Description | The purpose of this course is to study some new optimization methods, like simulated neural networks, genetic algorithm, Tabu search, linear programming, nonlinear programming, and integer programming etc. Various heuristic algorithms and mathematic programming methods are utilized to solve practical optimization problems for finding the global optimum effectively. Moreover, the related literature reviews and applications areas will be discussed. | ||