EVOLVE – A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation VII. [electronic resource]
| Další autoři: |
Emmerich, Michael, editor
Deutz, André, editor
Schütze, Oliver, editor
Legrand, Pierrick, editor
Tantar, Emilia, editor
Tantar, Alexandru-Adrian, editor
|
|---|---|
| Jazyk: | angličtina |
| Informace o vydání: | Cham : Springer International Publishing : Imprint: Springer, 2017. |
| Předmět: |
Engineering
Computer science -- Mathematics Artificial intelligence Computer mathematics Probabilities Computational intelligence Computational Intelligence Artificial Intelligence (incl. Robotics) Probability Theory and Stochastic Processes Mathematics of Computing Computational Mathematics and Numerical Analysis |
| Druh dokumentu: | Electronic; Non-fiction |
| ISSN: | 1860-949X ; 1860-949X ; |
| Abstrakt: | Summary: This book comprises nine selected works on numerical and computational methods for solving multiobjective optimization, game theory, and machine learning problems. It provides extended versions of selected papers from various fields of science such as computer science, mathematics and engineering that were presented at EVOLVE 2013 held in July 2013 at Leiden University in the Netherlands. The internationally peer-reviewed papers include original work on important topics in both theory and applications, such as the role of diversity in optimization, statistical approaches to combinatorial optimization, computational game theory, and cell mapping techniques for numerical landscape exploration. Applications focus on aspects including robustness, handling multiple objectives, and complex search spaces in engineering design and computational biology. |
| Databáze: | Vybrané kolekce e-knih |
| Externí odkaz: |
|