Studies of multi-start clustering for global optimization

International Journal for Numerical Methods in Engineering

Volumn 53, Issue 9, 2002, Pages 2239-2252

  Tu, W ^a   Mayne, R W ^a  

^a SUNY UPSTATE MEDICAL UNIVERSITY   (United States)

Author keywords

Clustering; Global; Hessian; Multi modal; Multi start; Optimization

Indexed keywords

ALGORITHMS; GLOBAL OPTIMIZATION; SAMPLING;

MULTI-START CLUSTERING;

PROBLEM SOLVING;

OPTIMIZATION;

EID: 0037196862     PISSN: 00295981     EISSN: None     Source Type: Journal    
DOI: 10.1002/nme.400     Document Type: Article

References (25)

1. Complexity issues in global optimization: A survey
2. A search clustering approach to global optimization
3. Stochastic global optimization methods. Part II: Multi level methods
4. Global optimization using multistart method
5. Relaxing the assumptions of the multilevel single linkage algorithm
6. Two algorithms for global optimization of general NLP problems
7. The repulsion algorithm, a new multistart method for global optimization
8. The symmetric rank one formula and its application in discrete nonlinear optimization
9. A hybrid variable metric update for the recursive quadratic programming method
10. Minimizing multimodal functions of continuous variables with the 'Simulated Annealing' algorithm
11. A cluster separation measure
12. Stochastic methods for global optimization
13. Global optimization and simulated annealing
14. Global optimization and stochastic differential equations
15. A hybrid genetic algorithm for nonconvex function minimization
16. Integral global optimization: Algorithms, implementations and numerical tests
17. An approach to multi-start clustering for global optimization with non-linear constraints