EVOLVE : a bridge between probability, set oriented numerics and evolutionary computation VII

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 th...

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Bibliographic Details
Corporate Author EVOLVE (Conference) Rijksuniversiteit te Leiden)
Other Authors Emmerich, Michael (Associate professor) (Editor), Deutz, André (Editor), Schütze, Oliver (Computer scientist) (Editor), Legrand, Pierrick (Editor), Tantar, Emilia, 1981- (Editor), Tantar, Alexandru-Adrian (Editor)
Format Electronic eBook
LanguageEnglish
Published Cham, Switzerland : Springer, 2017.
SeriesStudies in computational intelligence ; v. 662.
Subjects
Evolutionary computation > Congresses.
Combinatorial optimization > Congresses.
Genetic programming (Computer science) > Congresses.
elektronické knihy
electronic books
Online AccessPlný text

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MARC

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111 2 |a EVOLVE (Conference)  |n (3rd :  |d 2013 :  |c Rijksuniversiteit te Leiden),  |j creator. 
245 1 0 |a EVOLVE :  |b a bridge between probability, set oriented numerics and evolutionary computation VII /  |c Michael Emmerich, André Deutz, Oliver Schütze, Pierrick Legrand, Emilia Tantar, Alexandru-Adrian Tantar, editors. 
264 1 |a Cham, Switzerland :  |b Springer,  |c 2017. 
300 |a 1 online resource (viii, 210 pages) :  |b illustrations (some color) 
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490 1 |a Studies in computational intelligence,  |x 1860-949X ;  |v volume 662 
505 0 |a A Survey of Diversity Oriented Optimization: Problems, Indicators, and Algorithms -- Global Multi-Objective Optimization by Means of Cell Mapping Techniques -- Percentile via Polynomial Chaos Expansion: Bridging Robust Optimization with Reliability -- Evolutionary Equilibrium Detection in Multicriteria Games -- A New Estimation of Distribution Algorithm for Nash Equilibria Detection -- Multi-Objective Optimisation by Self-Adaptive Evolutionary Algorithm -- Evidence Based Multidisciplinary Robust Optimization for Mars Micro Entry Probe Design -- A Simulation-Based Algorithm for the Probabilistic Traveling Salesman Problem -- Average Cuboid Volume as a Convergence Indicator and Selection Criterion for Multi-Objective Biochemical Optimization. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a 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. 
590 |a SpringerLink  |b Springer Complete eBooks 
650 0 |a Evolutionary computation  |v Congresses. 
650 0 |a Combinatorial optimization  |v Congresses. 
650 0 |a Genetic programming (Computer science)  |v Congresses. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Emmerich, Michael  |c (Associate professor),  |e editor. 
700 1 |a Deutz, André,  |e editor. 
700 1 |a Schütze, Oliver  |c (Computer scientist),  |e editor. 
700 1 |a Legrand, Pierrick,  |e editor. 
700 1 |a Tantar, Emilia,  |d 1981-  |e editor. 
700 1 |a Tantar, Alexandru-Adrian,  |e editor. 
776 0 8 |i Print version:  |a EVOLVE (International conference) (2013 : Leiden, Netherlands).  |t EVOLVE.  |d Cham, Switzerland : Springer, 2017  |z 3319493248  |z 9783319493244  |w (OCoLC)960838411 
830 0 |a Studies in computational intelligence ;  |v v. 662.  |x 1860-949X 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://link.springer.com/10.1007/978-3-319-49325-1  |y Plný text 
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