Parallel Problem Solving from Nature – PPSN XIV

14th International Conference, Edinburgh, UK, September 17-21, 2016, Proceedings

Julia Handl, Emma Hart, Peter R. Lewis, Manuel López-Ibáñez, Gabriela Ochoa, Ben Paechter (Herausgeber)

Buch | Softcover

XXI, 1026 Seiten

2016 | 1st ed. 2016
Springer International Publishing (Verlag)
978-3-319-45822-9 (ISBN)

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This book constitutes the refereed proceedings of the 14th International Conference on Parallel Problem Solving from Nature, PPSN 2016, held in Edinburgh, UK, in September 2016.

The total of 93 revised full papers were carefully reviewed and selected from 224 submissions.
The meeting began with four workshops which offered an ideal opportunity to explore specific topics in intelligent transportation Workshop, landscape-aware heuristic search, natural computing in scheduling and timetabling, and advances in multi-modal optimization.

PPSN XIV also included sixteen free tutorials to give us all the opportunity to learn about new aspects: gray box optimization in theory; theory of evolutionary computation; graph-based and cartesian genetic programming; theory of parallel evolutionary algorithms; promoting diversity in evolutionary optimization: why and how; evolutionary multi-objective optimization; intelligent systems for smart cities; advances on multi-modal optimization; evolutionary computation in cryptography; evolutionary robotics - a practical guide to experiment with real hardware; evolutionary algorithms and hyper-heuristics; a bridge between optimization over manifolds and evolutionary computation; implementing evolutionary algorithms in the cloud; the attainment function approach to performance evaluation in EMO; runtime analysis of evolutionary algorithms: basic introduction; meta-model assisted (evolutionary) optimization.
The papers are organized in topical sections on adaption, self-adaption and parameter tuning; differential evolution and swarm intelligence; dynamic, uncertain and constrained environments; genetic programming; multi-objective, many-objective and multi-level optimization; parallel algorithms and hardware issues; real-word applications and modeling; theory; diversity and landscape analysis.

Adaption, self-adaption and parameter tuning.- Differential evolution and swarm intelligence.- Dynamic, uncertain and constrained environments.- Genetic programming.- Multi-objective, many-objective and multi-level optimization.- Parallel algorithms and hardware issues.- Real-word applications and modeling.- Theory.- Diversity and landscape analysis.- Workshops and Tutorials.

Erscheinungsdatum	08.10.2016
Reihe/Serie	Lecture Notes in Computer Science
Reihe/Serie	Theoretical Computer Science and General Issues
Zusatzinfo	XXI, 1026 p. 273 illus.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Schlagworte	Algorithm design • Applications • Artificial Intelligence • artificial intelligence (incl. robotics) • bio-inspired computation • combinatorial optimization • Computer Science • conference proceedings • cryptography • Data Mining • Distance Learning • Empirical Analysis • evolutionary algorithms • evolutionary computation • Game Theory • genetic programming • Informatics • machine learning • Multiobjective Optimization • Neural networks • Optimization • Program Semantics • Research • Robotics • Uncertainty • Visualization
ISBN-10	3-319-45822-1 / 3319458221
ISBN-13	978-3-319-45822-9 / 9783319458229
Zustand	Neuware