Demonstration of two multi-objective optimization strategies
Created for use in introductory design optimization courses (e.g., SE 413 at UIUC). Demonstrates that the epsilon-constraint method can identify non-dominated points on a Pareto frontier corresponding to a multi-objective optimization problem, whereas the more well-known weighted sum method cannot. The test problem is adapted from:
"Optimization in Practice with MATLAB: For Engineering Students and Professionals", A. Messac, 2015, Cambridge University Press
MathWorks partner webpage for text:
https://www.mathworks.com/support/books/book106117.html
See the _readme.txt file to get started.
引用格式
James Allison (2024). Demonstration of two multi-objective optimization strategies (https://www.mathworks.com/matlabcentral/fileexchange/64787-demonstration-of-two-multi-objective-optimization-strategies), MATLAB Central File Exchange. 检索来源 .
MATLAB 版本兼容性
平台兼容性
Windows macOS Linux类别
标签
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!multiobjective-example-SE413/
版本 | 已发布 | 发行说明 | |
---|---|---|---|
1.0.0.0 | Added image |