Evolutionary Algorithms in Engineering and Computer Science Recent Advances in Genetic Algorithms, Evolution Strategies, Evolutionary Programming, Genetic Programming and Industrial Applications |
|
| Editor:
| Miettinen, K.
Neittaanmäki, Pekka
Mäkelä, M. M.
Périaux, Jacques |
| ISBN: | 978-0-471-99902-7 |
| Publication Date: | Jul 1999 |
| Publisher: | John Wiley & Sons, Incorporated
|
| Book Format: | Hardback |
| List Price: | USD $313.95 |
Book Description:
|
Genetic algorithms (GA) and evolution strategies (ES) are relatively new stochastic based techniques for solving engineering problems on computers. GA and ES are based on a loose biological analogy: evolutionary theory (mutation, crossover, selection, survival of the fittest).
Genetic algorithms (GA) and evolution strategies (ES) are relatively new stochastic based techniques for solving engineering problems on computers. GA and ES are based on a loose biological analogy: evolutionary theory (mutation, crossover, selection, survival of the fittest).