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|a 0471977101
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|a SELETE
|b gre
|e AACR2
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| 050 |
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|a QA402.5
|b gre
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| 082 |
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|2 21st ed.
|a 621.39 GEN
|b .G4533 1998
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| 082 |
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|2 21
|a 006.31
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| 082 |
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|2 21
|a 006.3
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| 245 |
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|a Genetic algorithms and evolution strategy in engineering and computer science:
|b recent advances and industrial applications ; ed. D. Quagliarella, J. Periaux, C. Poloni, G. Winter
|
| 250 |
1 |
0 |
|a 2nd ed.
|
| 260 |
1 |
0 |
|a Chichester:
|b John Wiley,
|c 1998
|
| 300 |
1 |
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|a x, 391p. :
|b fig., tabl.
|
| 500 |
1 |
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|a "Lectures delivered by the second edition of EUROGEN, a short course of Genetic algorithms and evolution strategies which was held in Trieste, Italy, in September 1997" -- preface.
|
| 504 |
1 |
0 |
|a Includes bibliographical references
|
| 504 |
1 |
0 |
|a Includes bibliographical references.
|
| 504 |
0 |
0 |
|a Περιέχει βιβλιογραφικές παραπομπές
|
| 505 |
0 |
0 |
|a 1. Artificial evolution: how and why? -- 2. Adaptive niching via coevolutionary sharing -- 3. Representation issues in neighbourhood search and evolutionary algorithms -- 4. Gene expression: the missing link in evolutionary computation -- 5. Immunized artificial systems - concepts and applications -- 6. Designing electronic circuits using evolutionary algorithms arithmetic circuits: a case study -- 7. Evolutionary computing for conceptual and detailed design -- 8. Cam shape optimization by genetic algorithms -- 9. Evolutionary algorithms: applications at the Informatik Center Dortmund -- 10. Evolutionary learning processes for data analysis in electrical engineering applications -- 11. Ga multiple objective optimization strategies for electromagnetic backscattering -- 12. Pareto genetic algorithm for aerodynamic design using the Navier-Stokes equations --13. GA coupled with computationally expensive simulations: tools to improve efficiency -- 14. Coupling genetic algorithms and gradient based optimization techniques -- 15. Evolutionary synthesis of control policies for manufacturing systems -- 16. Parametric and non-parametric identification of macro-mechanical models -- 17. Evolutionary mobile robotics --18. Nonlinear system identification by means of evolutionary optimised neural networks.
|
| 650 |
0 |
0 |
|a ΓΕΤΕ
|
| 650 |
0 |
0 |
|a ENGINEERING
|
| 650 |
0 |
0 |
|a COMPUTER SCIENCE
|
| 650 |
0 |
0 |
|a EVOLUTION STRATEGY
|
| 650 |
0 |
0 |
|a Algorithm
|
| 650 |
0 |
0 |
|a ELECTRICAL ENGINEERING
|
| 650 |
0 |
0 |
|a ELECTROMAGNETIC
|
| 650 |
0 |
0 |
|a MANUFACTURING
|
| 650 |
0 |
0 |
|a Μηχανική
|
| 650 |
0 |
0 |
|a Πληροφορική
|
| 650 |
0 |
0 |
|a Ηλεκτρομαγνητική
|
| 650 |
0 |
0 |
|a Ηλεκτρολογία
|x Μηχανολογία
|
| 650 |
0 |
0 |
|a Εξελικτική στρατηγική
|
| 650 |
0 |
0 |
|a Αλγόριθμοι
|
| 650 |
0 |
0 |
|a Βιομηχανικές εφαρμογές
|
| 650 |
0 |
0 |
|a Aerodynamics
|
| 650 |
0 |
0 |
|a Αεροδυναμική
|
| 650 |
0 |
0 |
|a Genetic algorithms
|x Data processing
|
| 650 |
0 |
0 |
|a Evolutionary programming (Computer science)
|
| 650 |
0 |
0 |
|a Evolutionary computation
|
| 650 |
0 |
0 |
|a Engineering
|
| 650 |
0 |
0 |
|a Genetic algorithms.
|
| 650 |
0 |
0 |
|a Evolutionary programming (Computer science)
|
| 650 |
0 |
0 |
|a Γενετικοί αλγόριθμοι
|
| 650 |
0 |
0 |
|a Genetic algorithms
|
| 650 |
0 |
0 |
|a Evolutionary programming (Computer science)
|
| 650 |
0 |
0 |
|a Evolutionary computation
|
| 650 |
0 |
0 |
|a Engineering
|x Data processing
|
| 700 |
1 |
0 |
|a QUAGLIARELLA, D.
|
| 700 |
1 |
0 |
|a PERIAUX, J.
|
| 700 |
1 |
0 |
|a POLONI, C.
|
| 700 |
1 |
0 |
|a WINTER, GEORGE
|
| 700 |
1 |
0 |
|a Quagliarella, D.
|
| 700 |
1 |
0 |
|a Quagliarella, D.
|
| 700 |
1 |
0 |
|a Quagliarella, D.
|
| 710 |
0 |
0 |
|a John Wiley and Sons
|
| 710 |
0 |
0 |
|a Wiley
|
| 952 |
|
|
|a GR-IrASP
|b 59cc19856c5ad13446f743d8
|c 998a
|d 945l
|e 621.39 GEN
|t 1
|x m
|z Books
|
| 952 |
|
|
|a GR-KoDPT
|b 59cc31d66c5ad13446fae62b
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|d 945l
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