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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 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	EVOLVE/ edited by Michael Emmerich ... [et al.].
其他題名:	a bridge between probability, set oriented numerics and evolutionary computation VII /
其他作者:	Emmerich, Michael.
團體作者:	EVOLVE (International conference)
出版者:	Cham :Springer International Publishing : : 2017.,
面頁冊數:	viii, 210 p. :ill. (some col.), digital ;24 cm.
內容註:	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
標題:	Evolutionary computation - Congresses. -
電子資源:	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

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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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