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EVOLVEa bridge between probability, ...

(1998 :)

EVOLVEa 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:	EVOLVEedited 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:
出版者:	Cham :Springer International Publishing :2017.
面頁冊數:	viii, 210 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
標題:	Evolutionary computationCongresses.
電子資源:	http://dx.doi.org/10.1007/978-3-319-49325-1
ISBN:	9783319493251$q(electronic bk.)

EVOLVEa 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. 216..

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$q(electronic bk.)

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

438415
Evolutionary computation
--Congresses.

LC Class. No.: QA76.618

Dewey Class. No.: 005.1

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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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