Evolve A Bridge Between Probability Set Oriented Numerics And Evolutionary Computation V


Download Evolve A Bridge Between Probability Set Oriented Numerics And Evolutionary Computation V PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Evolve A Bridge Between Probability Set Oriented Numerics And Evolutionary Computation V book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.

Download

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


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

Author: Alexandru-Adrian Tantar

language: en

Publisher: Springer

Release Date: 2014-06-04


DOWNLOAD





This volume encloses research articles that were presented at the EVOLVE 2014 International Conference in Beijing, China, July 1–4, 2014. The book gathers contributions that emerged from the conference tracks, ranging from probability to set oriented numerics and evolutionary computation; all complemented by the bridging purpose of the conference, e.g. Complex Networks and Landscape Analysis, or by the more application oriented perspective. The novelty of the volume, when considering the EVOLVE series, comes from targeting also the practitioner’s view. This is supported by the Machine Learning Applied to Networks and Practical Aspects of Evolutionary Algorithms tracks, providing surveys on new application areas, as in the networking area and useful insights in the development of evolutionary techniques, from a practitioner’s perspective. Complementary to these directions, the conference tracks supporting the volume, follow on the individual advancements of the subareas constituting the scope of the conference, through the Computational Game Theory, Local Search and Optimization, Genetic Programming, Evolutionary Multi-objective optimization tracks.

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


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

Author: Alexandru-Adrian Tantar

language: en

Publisher: Springer

Release Date: 2017-11-09


DOWNLOAD





This book comprises selected research papers from the 2015 edition of the EVOLVE conference, which was held on June 18–June 24, 2015 in Iași, 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.

EVOLVE – A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation VII


EVOLVE – A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation VII

Author: Michael Emmerich

language: en

Publisher: Springer

Release Date: 2017-04-27


DOWNLOAD





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.