Cantitate/Preț
Produs

Automatic Re-engineering of Software Using Genetic Programming: Genetic Programming, cartea 2

Autor Conor Ryan
en Limba Engleză Hardback – 30 noi 1999
Automatic Re-engineering of Software Using Genetic Programming describes the application of Genetic Programming to a real world application area - software re-engineering in general and automatic parallelization specifically. Unlike most uses of Genetic Programming, this book evolves sequences of provable transformations rather than actual programs. It demonstrates that the benefits of this approach are twofold: first, the time required for evaluating a population is drastically reduced, and second, the transformations can subsequently be used to prove that the new program is functionally equivalent to the original.
Automatic Re-engineering of Software Using Genetic Programming shows that there are applications where it is more practical to use GP to assist with software engineering rather than to entirely replace it. It also demonstrates how the author isolated aspects of a problem that were particularly suited to GP, and used traditional software engineering techniques in those areas for which they were adequate.
Automatic Re-engineering of Software Using Genetic Programming is an excellent resource for researchers in this exciting new field.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 62058 lei  43-57 zile
  Springer Us – 5 noi 2012 62058 lei  43-57 zile
Hardback (1) 62601 lei  43-57 zile
  Springer Us – 30 noi 1999 62601 lei  43-57 zile

Din seria Genetic Programming

Preț: 62601 lei

Preț vechi: 78251 lei
-20% Nou

Puncte Express: 939

Preț estimativ în valută:
11982 12488$ 9974£

Carte tipărită la comandă

Livrare economică 06-20 ianuarie 25

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9780792386537
ISBN-10: 0792386531
Pagini: 140
Ilustrații: XIII, 140 p.
Dimensiuni: 155 x 235 x 16 mm
Greutate: 0.39 kg
Ediția:2000
Editura: Springer Us
Colecția Springer
Seria Genetic Programming

Locul publicării:New York, NY, United States

Public țintă

Research

Cuprins

1. Introduction.- 1.1 Software Re-Engineering.- 1.2 Auto-parallelization.- 1.3 Genetic Programming.- 1.4 Outline.- 2. Genetic Programming.- 2.1 Introduction.- 2.2 Evolution and Natural Selection.- 2.3 Evolutionary Algorithms.- 2.4 The Simple Genetic Algorithm.- 2.5 Genetic Programming.- 2.6 Other Evolutionary Algorithms.- 2.7 Advanced topics in Evolutionary Algorithms.- 2.8 Evolution and Learning.- 2.9 Summary.- 3. Software Re-Engineering.- 3.1 Introduction.- 3.2 Auto-parallelization.- 3.3 Parallel Programming.- 3.4 Parallelization Problems.- 3.5 Parallel Compilers.- 3.6 On using Genetic Programming.- 3.7 An Automatic Parallelization System.- 3.8 Summary.- 4. Multi-Objective Problems.- 4.1 Introduction.- 4.2 Example Problem — Sorting Networks.- 4.3 Maintaining Diversity In Artificial Evolution.- 4.4 Pygmies And Civil Servants.- 4.5 Gender or Race?.- 4.6 Multi-modal Functions.- 4.7 Conclusion.- 5. Paragen I.- 5.1 Introduction.- 5.2 Problem Statement.- 5.3 Paragen — The First Results.- 5.4 Paragen and Races.- 5.5 Engineering vs. Re-Engineering.- 5.6 Conclusion.- 6. Practical Considerations.- 6.1 Provability.- 6.2 Scalability.- 6.3 Loop Complexity.- 6.4 Communication and Scheduling.- 6.5 Multiprocessor Scheduling.- 6.6 Genetic Algorithms.- 6.7 Conclusions.- 7. Paragen II.- 7.1 Transformations.- 7.2 Atoms and Loops.- 7.3 Atoms, loops and modes.- 7.4 Genetic Structure.- 7.5 Example Individual.- 7.6 Conclusion.- 8. Conclusions.- 8.1 Future Work.- 8.2 Recommendations.- References.