Genetic algorithms for MD-optimal follow-up designs

Computers and Operations Research

Volumn 30, Issue 2, 2003, Pages 233-252

  Chen, Chuen Lung ^a   Lin, Rong Ho ^b   Zhang, Jianping ^c  

^a NATIONAL CHENGCHI UNIVERSITY   (Taiwan)

^b NATIONAL TAIPEI UNIVERSITY OF TECHNOLOGY   (Taiwan)

^c Temple Inland Inc   (United States)

Author keywords

Follow up designs; Fractional factorial designs; Genetic algorithms

Indexed keywords

ANNEALING; DESIGN; GENETIC ALGORITHMS; HEURISTIC METHODS; OPTIMIZATION; STATISTICAL METHODS;

FOLLOW UP DESIGN;

OPERATIONS RESEARCH;

GENETIC ALGORITHM;

EID: 0037290391     PISSN: 03050548     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0305-0548(01)00093-4     Document Type: Article

References (22)

1. On the experimental attainment of optimum conditions (with discussion)
2. k-p fractional factorial design
3. p-q series
4. Resolution IV fractional factorial designs
5. m series
6. Connections between two-level designs of resolutions III* and V
7. Time trends and factorial experiments
8. k-p resolution IV experimental designs
9. Discrimination among mechanistic models
10. Planning experiment for discrimination between models (with discussion)
11. The design of experiments for discriminating between two rival models
12. Optimal design: Experiments for discriminating between several models
13. Follow-up designs to resolve confounding in multifactor
14. Use of design repair to construct designs for special linear models
15. Results in the theory and construction of D-optimum experimental designs
16. Finding the active factors in fractionated screening experiments
17. An overview of evolutionary algorithms in management applications
18. An application of genetic algorithms for flow shop problems
19. Genetic algorithms applied to the continuous flow shop problem
20. Optimized control of parameters for genetic algorithms