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Non-Convex Multi-Objective Optimization (Record no. 427213)

MARC details
000 -LEADER
fixed length control field 03929nam a22005295i 4500
020 ## - INTERNATIONAL STANDARD BOOKNUMBER
International Standard Book Number 9783319610078
-- 978-3-319-61007-8
024 7# -
-- 10.1007/978-3-319-61007-8
-- doi
040 ## -
-- ISI Library, Kolkata
050 #4 -
-- QA402.5-402.6
072 #7 -
-- PBU
-- bicssc
072 #7 -
-- MAT003000
-- bisacsh
072 #7 -
-- PBU
-- thema
082 04 - DEWEYDECIMAL CLASSIFICATION NUMBER
Classification number 519.6
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Pardalos, Panos M.
Relator code aut
-- http://id.loc.gov/vocabulary/relators/aut
245 10 - TITLE STATEMENT
Title Non-Convex Multi-Objective Optimization
Medium [electronic resource] /
Statement of responsibility, etc by Panos M. Pardalos, Antanas Žilinskas, Julius Žilinskas.
942 ## - ADDED ENTRY ELEMENTS(KOHA)
Koha item type E-BOOKS
100 1# - MAIN ENTRY--PERSONAL NAME
-- author.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE STATEMENTS
Place of production, publication, distribution, manufacture Cham :
Name of producer, publisher, distributor, manufacturer Springer International Publishing :
-- Imprint: Springer,
Date of production, publication, distribution, manufacture 2017.
300 ## -
-- XII, 192 p. 18 illus., 4 illus. in color.
-- online resource.
336 ## - CONTENT TYPE
Content Type Term text
Content Type Code txt
Source rdacontent
337 ## - MEDIA TYPE
Media Type Term computer
Media Type Code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier Type Term online resource
Carrier Type Code cr
Source rdacarrier
347 ## -
-- text file
-- PDF
-- rda
490 1# -
-- Springer Optimization and Its Applications,
-- 1931-6828 ;
-- 123
505 0# -
-- 1. Definitions and Examples -- 2. Scalarization -- 3. Approximation and Complexity -- 4. A Brief Review of Non-Convex Single-Objective Optimization -- 5. Multi-Objective Branch and Bound -- 6. Worst-Case Optimal Algorithms -- 7. Statistical Models Based Algorithms -- 8. Probabilistic Bounds in Multi-Objective Optimization -- 9. Visualization of a Set of Pareto Optimal Decisions -- 10. Multi-Objective Optimization Aided Visualization of Business Process Diagrams. –References -- Index.
520 ## -
-- Recent results on non-convex multi-objective optimization problems and methods are presented in this book, with particular attention to expensive black-box objective functions. Multi-objective optimization methods facilitate designers, engineers, and researchers to make decisions on appropriate trade-offs between various conflicting goals. A variety of deterministic and stochastic multi-objective optimization methods are developed in this book. Beginning with basic concepts and a review of non-convex single-objective optimization problems; this book moves on to cover multi-objective branch and bound algorithms, worst-case optimal algorithms (for Lipschitz functions and bi-objective problems), statistical models based algorithms, and probabilistic branch and bound approach. Detailed descriptions of new algorithms for non-convex multi-objective optimization, their theoretical substantiation, and examples for practical applications to the cell formation problem in manufacturing engineering, the process design in chemical engineering, and business process management are included to aide researchers and graduate students in mathematics, computer science, engineering, economics, and business management. .
650 #0 -
-- Mathematical optimization.
650 #0 -
-- Algorithms.
650 14 -
-- Optimization.
-- http://scigraph.springernature.com/things/product-market-codes/M26008
650 24 -
-- Algorithms.
-- http://scigraph.springernature.com/things/product-market-codes/M14018
650 24 -
-- Mathematical Applications in Computer Science.
-- http://scigraph.springernature.com/things/product-market-codes/M13110
700 1# -
-- Žilinskas, Antanas.
-- author.
-- aut
-- http://id.loc.gov/vocabulary/relators/aut
700 1# -
-- Žilinskas, Julius.
-- author.
-- aut
-- http://id.loc.gov/vocabulary/relators/aut
710 2# -
-- SpringerLink (Online service)
773 0# -
-- Springer eBooks
776 08 -
-- Printed edition:
-- 9783319610054
776 08 -
-- Printed edition:
-- 9783319610061
776 08 -
-- Printed edition:
-- 9783319869810
830 #0 -
-- Springer Optimization and Its Applications,
-- 1931-6828 ;
-- 123
856 40 -
-- https://doi.org/10.1007/978-3-319-61007-8
912 ## -
-- ZDB-2-SMA
950 ## -
-- Mathematics and Statistics (Springer-11649)

No items available.

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