An approach to multi-start clustering for global optimization with non-linear constraints

International Journal for Numerical Methods in Engineering

Volumn 53, Issue 9, 2002, Pages 2253-2269

  Tu, W ^a   Mayne, R W ^a  

^a SUNY UPSTATE MEDICAL UNIVERSITY   (United States)

Author keywords

Clustering; Constrained; Global; Multi start; Optimization; Quadratic

Indexed keywords

CONSTRAINT THEORY; GLOBAL OPTIMIZATION; QUADRATIC PROGRAMMING; SIMULATED ANNEALING;

MULTI-START CLUSTERING;

PROBLEM SOLVING;

OPTIMIZATION;

EID: 0037196865     PISSN: 00295981     EISSN: None     Source Type: Journal    
DOI: 10.1002/nme.401     Document Type: Article

References (25)

1. The multi-level single linkage method for unconstrained and constrained global optimization
2. Global optimization using multistart method
3. Topographical global optimization
4. Studies of multi-start clustering for global optimization
5. A hybrid variable metric update for the recursive quadratic programming method
6. The symmetric rank one formula and its application in discrete nonlinear optimization
7. Algorithms for nonlinear functions that use Lagrangian functions
8. Two algorithms for global optimization of general NLP problems
9. Integral global optimization: Algorithms, implementations and numerical tests
10. Nonlinear programming: Counter examples to two global optimization algorithms
11. A production system for use of global optimization knowledge
12. Optimizing tolerance allocation based on manufacturing cost and quality loss