عنوان
پدید آورنده
موضوع
رده
QA402.5
QA402
.
5
کتابخانه
محل استقرار
INTERNATIONAL STANDARD BOOK NUMBER
(Number (ISBN
3030125971
(Number (ISBN
303012598X
(Number (ISBN
3030125998
(Number (ISBN
9783030125974
(Number (ISBN
9783030125981
(Number (ISBN
9783030125998
Erroneous ISBN
9783030125974
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
Evolutionary multi-criterion optimization :
General Material Designation
[Book]
Other Title Information
10th international conference, EMO 2019, East Lansing, MI, USA, March 10-13, 2019 proceedings /
First Statement of Responsibility
Kalyanmoy Deb [and 6 more], editors.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Cham, Switzerland :
Name of Publisher, Distributor, etc.
Springer,
Date of Publication, Distribution, etc.
2019.
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
1 online resource
SERIES
Series Title
Lecture notes in computer science ;
Series Title
LNCS sublibrary. SL 1, Theoretical computer science and general issues
Volume Designation
11411
GENERAL NOTES
Text of Note
Includes author index.
Text of Note
International conference proceedings.
CONTENTS NOTE
Text of Note
Intro; Preface; Organization; Contents; Theory; On Bi-objective Convex-Quadratic Problems; 1 Introduction; 2 Theoretical Properties of Bi-objective Convex-Quadratic Problems; 2.1 Preliminaries; 2.2 Pareto Set; 2.3 Convexity of the Pareto Front; 3 New Classes of Bi-objective Test Functions; 4 Summary; References; An Empirical Investigation of the Optimality and Monotonicity Properties of Multiobjective Archiving Methods; 1 Introduction; 2 Experimental Design; 2.1 Assessment Indexes; 2.2 Archivers Investigated; 2.3 Test Problems; 2.4 General Experimental Settings; 3 Results; 3.1 Optimal Ratio
Text of Note
3.2 Deterioration Ratio3.3 Summary; 4 Concluding Remarks; References; Evolutionary Multi-objective Optimization Using Benson's Karush-Kuhn-Tucker Proximity Measure; 1 Introduction; 2 KKT Based Proximity Measure; 3 Proposed B-KKT Proximity Measure; 4 Results; 4.1 Two-Objective Optimization Problems; 4.2 Three-Objective Optimization Problems; 4.3 Many-Objective Optimization Problems; 4.4 Engineering Design Problem; 5 Conclusions; References; On the Convergence of Decomposition Algorithms in Many-Objective Problems; 1 Introduction; 2 Numerical Experiments; 3 Interpretation of Results
Text of Note
3.2 Sweep Line Algorithms for m = 24 The Van Emde Boas Tree; 5 Efficient Implementation of the Van Emde Boas Tree; 6 Implementation and Analysis of the Whole Algorithm; 7 Experiments; 8 Conclusion; References; Toward a New Family of Hybrid Evolutionary Algorithms; 1 Introduction; 2 Background; 3 Subspace Polynomial Mutation Operator; 4 Multi-objective Descent Directions Within MOEAs; 4.1 Equality Constrained MOPs; 4.2 Gradient-Free Descent Direction; 5 Application: Hybrid Algorithm for Constrained Optimization; 6 Conclusions and Future Work; References
Text of Note
4 ConclusionReferences; Algorithms; A New Hybrid Metaheuristic for Equality Constrained Bi-objective Optimization Problems; 1 Introduction; 2 Background; 3 Proposed Algorithm (M-NSGA-II/PT); 3.1 First Stage: Rough Approximation via Micro-NSGA-II; 3.2 Second Stage: Refinement via PT; 4 Numerical Results; 5 Conclusions and Future Work; References; Make Evolutionary Multiobjective Algorithms Scale Better with Advanced Data Structures: Van Emde Boas Tree for Non-dominated Sorting; 1 Introduction; 2 Preliminaries; 3 The Divide-and-Conquer Algorithm for Non-dominated Sorting; 3.1 The General Plan
Text of Note
Adjustment of Weight Vectors of Penalty-Based Boundary Intersection Method in MOEA/D1 Introduction; 2 Related Works; 3 MOEA/D-PBI with Adjusted Weight Vectors; 4 Computational Experiments; 4.1 Experimental Settings; 4.2 Experimental Results; 5 Conclusions; References; GDE4: The Generalized Differential Evolution with Ordered Mutation; 1 Introduction; 2 Background Review; 2.1 Generalized Differential Evolution; 2.2 Existing Single Objective Differential Evolution with Ordered Mutation; 3 Proposed Algorithm: The Generalized Differential Evolution with the Ordered Mutation (GDE4); 4 Experiment
0
8
8
8
8
SUMMARY OR ABSTRACT
Text of Note
This book constitutes the refereed proceedings of the 10th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2019 held in East Lansing, MI, USA, in March 2019. The 59 revised full papers were carefully reviewed and selected from 76 submissions. The papers are divided into 8 categories, each representing a key area of current interest in the EMO field today. They include theoretical developments, algorithmic developments, issues in many-objective optimization, performance metrics, knowledge extraction and surrogate-based EMO, multi-objective combinatorial problem solving, MCDM and interactive EMO methods, and applications.
ACQUISITION INFORMATION NOTE
Source for Acquisition/Subscription Address
Springer Nature
Stock Number
com.springer.onix.9783030125981
OTHER EDITION IN ANOTHER MEDIUM
International Standard Book Number
9783030125974
International Standard Book Number
9783030125998
PARALLEL TITLE PROPER
Parallel Title
EMO 2019
TOPICAL NAME USED AS SUBJECT
Evolutionary computation, Congresses.
Mathematical optimization, Congresses.
Evolutionary computation.
Mathematical optimization.
(SUBJECT CATEGORY (Provisional
COM051300
UMB
UMB
DEWEY DECIMAL CLASSIFICATION
Number
519
.
6
Edition
23
LIBRARY OF CONGRESS CLASSIFICATION
Class number
QA402
.
5
PERSONAL NAME - ALTERNATIVE RESPONSIBILITY
Deb, Kalyanmoy
CORPORATE BODY NAME - PRIMARY RESPONSIBILITY
EMO (Conference)(10th :2019 :, East Lansing, Mich.)
ORIGINATING SOURCE
Date of Transaction
20200823083007.0
Cataloguing Rules (Descriptive Conventions))
pn
ELECTRONIC LOCATION AND ACCESS
Electronic name
مطالعه متن کتاب [Book]
Y
