A Hybrid Approach for Solving Constrained Multi-Objective Mixed-Discrete Nonlinear Programming Engineering Problems
Several complex engineering design problems have multiple, conflicting objectives and constraints that are nonlinear, along with mixed discrete and continuous design variables; these problems are inherently difficult to solve. This chapter presents a novel hybrid approach to find solutions to a cons...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Book Chapter |
| Language: | English |
| Published: |
IntechOpen
2021
|
| Subjects: | |
| Online Access: | https://www.intechopen.com/chapters/76330 |
| Tags: |
No Tags, Be the first to tag this record!
|
Similar Items: A Hybrid Approach for Solving Constrained Multi-Objective Mixed-Discrete Nonlinear Programming Engineering Problems
- Learning to Solve Mixed-Integer Nonlinear Programming with Neural Networks and Sequential Quadratic Programming Refinement
- Solving discrete constrained problems on de Rham complex
- Efficient Realization of the Mixed Finite Element Discretization for nonlinear Problems
- Knowledge engineering mixed-integer linear programming: constraint typology
- Constraint-Generation Policy Optimization (CGPO): Nonlinear Programming for Policy Optimization in Mixed Discrete-Continuous MDPs
- Autoresearch in Mixed-Integer Linear and Nonlinear Programming