Parallel Problem Solving from Nature - PPSN XIX, Kartoniert / Broschiert
Parallel Problem Solving from Nature - PPSN XIX
- 19th International Conference, PPSN 2026, Trento, Italy, August 29 - September 2, 2026, Proceedings, Part V
(soweit verfügbar beim Lieferanten)
- Herausgeber:
- Giovanni Iacca, Giorgia Nadizar, Anil Yaman, Doina Bucur, Antonio Della Cioppa, Ting Hu, Eric Medvet, Sarah L. Thomson
- Verlag:
- Springer, 08/2026
- Einband:
- Kartoniert / Broschiert
- Sprache:
- Englisch
- ISBN-13:
- 9783032362162
- Artikelnummer:
- 12907070
- Umfang:
- 540 Seiten
- Gewicht:
- 809 g
- Maße:
- 235 x 155 mm
- Stärke:
- 29 mm
- Erscheinungstermin:
- 25.8.2026
- Serie:
- Lecture Notes in Computer Science - Band 16989
- Hinweis
-
Achtung: Artikel ist nicht in deutscher Sprache!
Weitere Ausgaben von Parallel Problem Solving from Nature - PPSN XIX |
Preis |
|---|---|
| Buch, Kartoniert / Broschiert, Englisch | EUR 81,04* |
| Buch, Kartoniert / Broschiert, Englisch | EUR 81,04* |
Klappentext
This five-volume set, LNCS 16985--16989, constitutes the refereed proceedings of the 19th International Conference on Parallel Problem Solving from Nature, PPSN 2026, held in Trento, Italy, during August 29-September 2, 2026.
The 165 full papers presented in these proceedings were carefully reviewed and selected from 527 submissions. The papers cover the following topical sections:
Part I: Theory & Runtime Analysis; Combinatorial Optimization; Landscape Analysis & Benchmarking;
Part II: Multi-Objective Optimization; Swarm Intelligence & ACO;
Part III: Evolution Strategies & Continuous Black-Box Optimization; Bayesian & Surrogate-Assisted Optimization; Quantum Optimization & Computing; EC for ML, Data Science & Domain Applications; General EA Methodology, Operators & Parallel EC;
Part IV: Genetic Programming & Symbolic Regression; Quality-Diversity & Novelty Search; Robotics, Morphology & Design Encoding; Coevolution & Evolutionary Dynamics;
Part V: RL, Hyper-heuristics & Algorithm Selection; LLMs + Evolutionary Computation; Neural Architecture Search, AutoML & Neuroevolution.
