Explore
Evolutionary computation in stochastic environments
Christian Schmidt
2007
0 Ungluers have
Faved this Work
Login to Fave
This book develops efficient methods for the application of Evolutionary Algorithms on stochastic problems. To achieve this, procedures for statistical selection are systematically analyzed with respect to different measures and significantly improved. It is shown how to adapt one of the best procedures for the needs of Evolutionary Algorithms and Evolutionary operators for efficient implementation in stochastic environments are identified.
This book is included in DOAB.
Why read this book? Have your say.
You must be logged in to comment.
Rights Information
Are you the author or publisher of this work? If so, you can claim it as yours by registering as an Unglue.it rights holder.Downloads
This work has been downloaded 47 times via unglue.it ebook links.
- 47 - pdf (CC BY-NC-ND) at Unglue.it.
Keywords
- bayes
- evolutionary algorithm
- Genetic algorithms
- Ranking & Selection
- Simulation based optimization
- uncertainty
Links
DOI: 10.5445/KSP/1000006634Editions