Optimization using evolutionary algorithms and metaheuristics : (Record no. 73497)

000 -LEADER
fixed length control field 03758cam a2200577Mi 4500
001 - CONTROL NUMBER
control field 9780429293030
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220531132525.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m o d
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190823s2019 flu ob 000 0 eng
040 ## - Cataloging Source
-- OCoLC-P
-- eng
-- OCoLC-P
-- rda
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780429293030 (electronic bk)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 0429293038 (electronic bk)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781000546804
-- (electronic bk. : EPUB)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1000546802
-- (electronic bk. : EPUB)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781000541977
-- (electronic bk. : Mobipocket)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1000541975
-- (electronic bk. : Mobipocket)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781000537147
-- (electronic bk. : PDF)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1000537145
-- (electronic bk. : PDF)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9780367260446
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 0367260441
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)1114319847
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC-P)1114319847
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA177.4
Item number .O68 2019
072 #7 -
-- TEC
-- 009060
-- bisacsh
072 #7 -
-- TEC
-- 020000
-- bisacsh
072 #7 -
-- MAT
-- 029000
-- bisacsh
072 #7 -
-- KJT
-- bicssc
082 04 -
-- 620.001/5196
-- 23
245 00 - TITLE STATEMENT
Title Optimization using evolutionary algorithms and metaheuristics :
Remainder of title applications in engineering /
Statement of responsibility, etc. edited by Kaushik Kumar and J. Paulo Davim.
264 #1 -
-- Boca Raton :
-- Taylor & Francis, a CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa, plc,
-- 2019.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (pages cm.).
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
490 0# -
-- Science, technology, and management series
520 ## -
-- Metaheuristic optimization is a higher-level procedure or heuristic designed to find, generate, or select a heuristic (partial search algorithm) that may provide a sufficiently good solution to an optimization problem, especially with incomplete or imperfect information or limited computation capacity. This is usually applied when two or more objectives are to be optimized simultaneously. This book is presented with two major objectives. Firstly, it features chapters by eminent researchers in the field providing the readers about the current status of the subject. Secondly, algorithm-based optimization or advanced optimization techniques, which are applied to mostly non-engineering problems, are applied to engineering problems. This book will also serve as an aid to both research and industry. Usage of these methodologies would enable the improvement in engineering and manufacturing technology and support an organization in this era of low product life cycle. Features: Covers the application of recent and new algorithms Focuses on the development aspects such as including surrogate modeling, parallelization, game theory, and hybridization Presents the advances of engineering applications for both single-objective and multi-objective optimization problems Offers recent developments from a variety of engineering fields Discusses Optimization using Evolutionary Algorithms and Metaheuristics applications in engineering
588 ## -
-- OCLC-licensed vendor bibliographic record.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Engineering economy.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematical optimization.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Genetic algorithms.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Metaheuristics.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element TECHNOLOGY / Engineering / Industrial
Source of heading or term bisacsh
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element TECHNOLOGY / Manufacturing
Source of heading or term bisacsh
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element MATHEMATICS / Probability & Statistics / General
Source of heading or term bisacsh
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Kumar, K.
Fuller form of name (Kaushik),
Dates associated with a name 1968-
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Davim, J. Paulo,
Relator term editor.
856 40 -
-- Taylor & Francis
-- https://www.taylorfrancis.com/books/9780429293030
856 42 -
-- OCLC metadata license agreement
-- http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf

No items available.

Technical University of Mombasa
Tom Mboya Street, Tudor 90420-80100 , Mombasa Kenya
Tel: (254)41-2492222/3 Fax: 2490571