Genetic and Evolutionary Computation – GECCO 2004 Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26-30, 2004. Proceedings, Part II /
MostMOEAsuseadistancemetricorothercrowdingmethodinobjectivespaceinorder to maintain diversity for the non-dominated solutions on the Pareto optimal front. By ensuring diversity among the non-dominated solutions, it is possible to choose from a variety of solutions when attempting to solve a speci?c...
Συγγραφή απο Οργανισμό/Αρχή: | |
---|---|
Άλλοι συγγραφείς: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2004.
|
Σειρά: | Lecture Notes in Computer Science,
3103 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Genetic Algorithms (Continued)
- Genetic Algorithms – Posters
- Genetic Programming
- Genetic Programming – Posters
- Learning Classifier Systems
- Learning Classifier Systems – Poster
- Real World Applications
- Real World Applications – Posters
- Search-Based Software Engineering
- Search-Based Software Engineering – Posters.