1.

Record Nr.

UNINA9910438049503321

Titolo

EVOLVE-- A bridge between probability, set oriented numerics and evolutionary computation . II / / Oliver Schtze ... [et al.] (eds.)

Pubbl/distr/stampa

Berlin ; ; Heidelberg, : Springer, c2013

ISBN

1-283-63138-5

9786613943835

3-642-31519-4

Edizione

[1st ed. 2013.]

Descrizione fisica

1 online resource (503 p.)

Collana

Advances in intelligent systems and computing ; ; 175

Altri autori (Persone)

SchutzeOliver

Disciplina

006.30151

519.02/462

Soggetti

Evolutionary computation

Genetic programming (Computer science)

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

International conference proceedings.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Part I Cell Mapping and Quasi-stationary Distributions -- Part II Genetic Programming -- Part III EvolutionaryMulti-objective Optimization -- Part IV Combinatorial Optimization -- Part V ProbabilisticModeling and Optimization for Emerging Networks -- Part VI Hybrid Probabilistic Models for Real Parameter Optimization and their Applications -- Part VII Evolutionary Computation for Vision, Graphics, and Robotics -- Part VIII Real-world Application of Bio-inspired Metaheuristics.

Sommario/riassunto

This book comprises a selection of papers from the EVOLVE 2012 held in Mexico City, Mexico. The aim of the EVOLVE is to build a bridge between probability, set oriented numerics and evolutionary computing, as to identify new common and challenging research aspects. The conference is also intended to foster a growing interest for robust and efficient methods with a sound theoretical background. EVOLVE is intended to unify theory-inspired methods and cutting-edge techniques ensuring performance guarantee factors. By gathering researchers with different backgrounds, a unified view and vocabulary can emerge where the theoretical advancements may echo in different domains. Summarizing, the EVOLVE focuses on challenging aspects arising at the passage from theory to new paradigms and aims to



provide a unified view while raising questions related to reliability,  performance guarantees and modeling. The papers of the EVOLVE 2012 make a contribution to this goal. .