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EVOLVE = a bridge between probabilit...

EVOLVE (International conference) ((2013 :)

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

Record Type:	Electronic resources : Monograph/item
Title/Author:	EVOLVE/ edited by Michael Emmerich ... [et al.].
Reminder of title:	a bridge between probability, set oriented numerics and evolutionary computation VII /
other author:	Emmerich, Michael.
corporate name:	EVOLVE (International conference)
Published:	Cham :Springer International Publishing : : 2017.,
Description:	viii, 210 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Evolutionary computation - Congresses. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-49325-1
ISBN:	9783319493251

EVOLVE = a bridge between probability, set oriented numerics and evolutionary computation VII /
EVOLVEa bridge between probability, set oriented numerics and evolutionary computation VII /[electronic resource] :edited by Michael Emmerich ... [et al.]. - Cham :Springer International Publishing :2017. - viii, 210 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v.6621860-949X ;. - Studies in computational intelligence ;v.662..

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.

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.

ISBN: 9783319493251

Standard No.: 10.1007/978-3-319-49325-1doiSubjects--Topical Terms:

582175
Evolutionary computation
--Congresses.

LC Class. No.: QA76.618

Dewey Class. No.: 005.1

EVOLVE = a bridge between probability, set oriented numerics and evolutionary computation VII /
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111 2 $a EVOLVE (International conference) $d (2013 : $c Leiden, Netherlands) $3 3236381
245 1 0 $a EVOLVE $h [electronic resource] : $b a bridge between probability, set oriented numerics and evolutionary computation VII / $c edited by Michael Emmerich ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a viii, 210 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-949X ; $v v.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.
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.
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650 0 $a Combinatorial optimization $x Congresses. $3 705091
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650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 890894
650 2 4 $a Probability Theory and Stochastic Processes. $3 891080
650 2 4 $a Mathematics of Computing. $3 891213
650 2 4 $a Computational Mathematics and Numerical Analysis. $3 891040
700 1 $a Emmerich, Michael. $3 2088485
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830 0 $a Studies in computational intelligence ; $v v.662. $3 3236382
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-49325-1
950 $a Engineering (Springer-11647)