Abstract
This paper presents an optimization approach from the viewpoints of psychology and artificial intelligence. The new approach, namely storm-association approach, combines two premier manners, the brainstorm and association, originated form psychology aspects. Also, the actual algorithm integrates the advantages of two optimization methods, i.e. genetic algorithm and simulated annealing. The proposed approach not only can avoid the local optimum so as to reach the global optimum but also can be employed to produce some creative solutions. The reliability optimization problems are employed to demonstrate the proposed approach, and the numerical results show that this approach is more efficient than the genetic algorithm and simulated annealing.
| Original language | English |
|---|---|
| Pages (from-to) | 3988-3993 |
| Number of pages | 6 |
| Journal | Proceedings of the IEEE International Conference on Systems, Man and Cybernetics |
| Volume | 4 |
| Publication status | Published - 2003 Nov 24 |
| Event | System Security and Assurance - Washington, DC, United States Duration: 2003 Oct 5 → 2003 Oct 8 |
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All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Hardware and Architecture
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An optimization technique : Storm-association approach. / Chiang, Cheng Hsiung; Chen, Liang-Hsuan.
In: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Vol. 4, 24.11.2003, p. 3988-3993.Research output: Contribution to journal › Conference article
TY - JOUR
T1 - An optimization technique
T2 - Storm-association approach
AU - Chiang, Cheng Hsiung
AU - Chen, Liang-Hsuan
PY - 2003/11/24
Y1 - 2003/11/24
N2 - This paper presents an optimization approach from the viewpoints of psychology and artificial intelligence. The new approach, namely storm-association approach, combines two premier manners, the brainstorm and association, originated form psychology aspects. Also, the actual algorithm integrates the advantages of two optimization methods, i.e. genetic algorithm and simulated annealing. The proposed approach not only can avoid the local optimum so as to reach the global optimum but also can be employed to produce some creative solutions. The reliability optimization problems are employed to demonstrate the proposed approach, and the numerical results show that this approach is more efficient than the genetic algorithm and simulated annealing.
AB - This paper presents an optimization approach from the viewpoints of psychology and artificial intelligence. The new approach, namely storm-association approach, combines two premier manners, the brainstorm and association, originated form psychology aspects. Also, the actual algorithm integrates the advantages of two optimization methods, i.e. genetic algorithm and simulated annealing. The proposed approach not only can avoid the local optimum so as to reach the global optimum but also can be employed to produce some creative solutions. The reliability optimization problems are employed to demonstrate the proposed approach, and the numerical results show that this approach is more efficient than the genetic algorithm and simulated annealing.
UR - http://www.scopus.com/inward/record.url?scp=0242721426&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0242721426&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:0242721426
VL - 4
SP - 3988
EP - 3993
JO - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics
JF - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics
SN - 0884-3627
ER -