TY - CHAP

T1 - Optimal design synthesis of component-based systems using intelligent techniques

AU - Angelov, Plamen

AU - Zhang, Yi

AU - Wright, J A

PY - 2004

Y1 - 2004

N2 - In this chapter we have considered a special case of application of intelligent techniques, namely evolutionary algorithms and fuzzy optimization for au- tomatic synthesis of the design of a component-based system. We have also considered the problem of adaptation of the solutions found and the ways it can be done ’smartly’, maximizing the reuse of the previous knowledge and search history. Some useful hints and tips for practical use of these techniques in their application to different problems has been made. The approach we have presented for automatic synthesis of optimal design of component-based systems is novel and original. It can be applied to similar problems in automatic design of complex engineering systems, like petrochem- ical pipelines, electronic circuits design, etc. The complex problem of design synthesis, which involves human decisions at its early stages, is treated as a soft constraints satisfaction problem. EA and problem-specific operators are used to numerically solve this fuzzy optimization problem. Their use is mo- tivated by the complex nature of the problem, which results in the use of different types of variables (real and integer) that represent both the physical and the topological properties of the system. The ultimate objective of this fuzzy optimization problem is to design a feasible and efficient system. The important problem of the design adaptation to the changed speci- fications (constraints) has also been considered in detail. This adds to the flexibility of the approach and its portability. The approach which is pre- sented in this chapter has been tested with real systems and is realized in Java. It fully automates the design process, although interactive supervision by a human-designer is possible using a specialized GUI. (c) Springer

AB - In this chapter we have considered a special case of application of intelligent techniques, namely evolutionary algorithms and fuzzy optimization for au- tomatic synthesis of the design of a component-based system. We have also considered the problem of adaptation of the solutions found and the ways it can be done ’smartly’, maximizing the reuse of the previous knowledge and search history. Some useful hints and tips for practical use of these techniques in their application to different problems has been made. The approach we have presented for automatic synthesis of optimal design of component-based systems is novel and original. It can be applied to similar problems in automatic design of complex engineering systems, like petrochem- ical pipelines, electronic circuits design, etc. The complex problem of design synthesis, which involves human decisions at its early stages, is treated as a soft constraints satisfaction problem. EA and problem-specific operators are used to numerically solve this fuzzy optimization problem. Their use is mo- tivated by the complex nature of the problem, which results in the use of different types of variables (real and integer) that represent both the physical and the topological properties of the system. The ultimate objective of this fuzzy optimization problem is to design a feasible and efficient system. The important problem of the design adaptation to the changed speci- fications (constraints) has also been considered in detail. This adds to the flexibility of the approach and its portability. The approach which is pre- sented in this chapter has been tested with real systems and is realized in Java. It fully automates the design process, although interactive supervision by a human-designer is possible using a specialized GUI. (c) Springer

KW - DCS-publications-id

KW - incoll-57

KW - DCS-publications-credits

KW - dsp-fa

KW - DCS-publications-personnel-id

KW - 82

M3 - Chapter

SN - 3-540-24077-2

VL - 173

T3 - Studies in Fuzziness and Soft Computing

SP - 267

EP - 284

BT - Do Smart Adaptive Systems Exist?

A2 - Gabrys, B

A2 - Leviska, K

A2 - Strackelijan, J

PB - Springer

CY - Berlin/Heidelberg

ER -