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tantar alexandru-adrian (curatore); tantar emilia (curatore); emmerich michael (curatore); legrand pierrick (curatore); alboaie lenuta (curatore); luchian henri (curatore) - evolve - a bridge between probability, set oriented numerics, and evolutionary computation vi

EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation VI

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Dettagli

Genere:Libro
Lingua: Inglese
Editore:

Springer

Pubblicazione: 11/2017
Edizione: 1st ed. 2018





Trama

This book comprises selected research papers from the 2015 edition of the EVOLVE conference, which was held on June 18–June 24, 2015 in Ia?i, Romania. It presents the latest research on Probability, Set Oriented Numerics, and Evolutionary Computation. The aim of the EVOLVE conference was to provide a bridge between probability, set oriented numerics and evolutionary computation and to bring together experts from these disciplines. The broad focus of the EVOLVE conference made it possible to discuss the connection between these related fields of study computational science. The selected papers published in the proceedings book were peer reviewed by an international committee of reviewers (at least three reviews per paper) and were revised and enhanced by the authors after the conference. The contributions are categorized into five major parts, which are:

Multicriteria and Set-Oriented Optimization; Evolution in ICT Security; Computational Game Theory; Theory on Evolutionary Computation; Applications of Evolutionary Algorithms.

The 2015 edition shows a major progress in the aim to bring disciplines together and the research on a number of topics that have been discussed in previous editions of the conference matured over time and methods have found their ways in applications. In this sense the book can be considered an important milestone in bridging and thereby advancing state-of-the-art computational methods.

 





Sommario

Aggregate Selection in Multi-Objective Biochemical Optimization via the Average Cuboid Volume Indicator. - On Gradient-based and Swarm-based Algorithms for Set-oriented Bicriteria Optimization. - Quadcriteria Optimization of Binary Classifiers: Error Rates, Coverage, and Complexity. - Parameter Identification of Stochastic Gene Regulation Models by Indicator-based Evolutionary Level Set Approximation











Altre Informazioni

ISBN:

9783319697086

Condizione: Nuovo
Collana: Advances in Intelligent Systems and Computing
Dimensioni: 235 x 155 mm Ø 503 gr
Formato: Brossura
Illustration Notes:XIV, 226 p. 84 illus.
Pagine Arabe: 226
Pagine Romane: xiv


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