國立高雄大學圖資館 |

Language: English

Back

EVOLVEa bridge between probability, ...

(1998 :)

EVOLVEa bridge between probability, set oriented numerics and evolutionary computation VII /

Record Type:	Electronic resources : Monograph/item
Title/Author:	EVOLVEedited 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:
Published:	Cham :Springer International Publishing :2017.
Description:	viii, 210 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Evolutionary computationCongresses.
Online resource:	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

EVOLVEa bridge between probability, set oriented numerics and evolutionary computation VII /
LDR:02677nmm a2200325 a 4500 001 512045
003 DE-He213
005 20171103102648.0
006 m d
007 cr nn 008maaau
008 171226s2017 gw s 0 eng d
020 $a 9783319493251$q(electronic bk.)
020 $a 9783319493244$q(paper)
024 7 $a 10.1007/978-3-319-49325-1 $2 doi
035 $a 978-3-319-49325-1
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.618
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
082 0 4 $a 005.1 $2 23
090 $a QA76.618 $b .E93 2013
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
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.
650 0 $a Evolutionary computation $v Congresses. $3 438415
650 0 $a Combinatorial optimization $v Congresses. $3 441127
650 1 4 $a Engineering. $3 210888
650 2 4 $a Computational Intelligence. $3 338479
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 252959
650 2 4 $a Probability Theory and Stochastic Processes. $3 274061
650 2 4 $a Mathematics of Computing. $3 273710
650 2 4 $a Computational Mathematics and Numerical Analysis. $3 274020
700 1 $a Emmerich, Michael. $3 566553
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Studies in computational intelligence ; $v v. 216. $3 380871
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-49325-1
950 $a Engineering (Springer-11647)