Grouping Genetic Algorithms (Record no. 79105)

000 -LEADER
fixed length control field 04651nam a22006135i 4500
001 - CONTROL NUMBER
control field 978-3-319-44394-2
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801220932.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 161004s2017 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319443942
-- 978-3-319-44394-2
082 04 - CLASSIFICATION NUMBER
Call Number 006.3
100 1# - AUTHOR NAME
Author Mutingi, Michael.
245 10 - TITLE STATEMENT
Title Grouping Genetic Algorithms
Sub Title Advances and Applications /
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2017.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XIV, 243 p. 78 illus.
490 1# - SERIES STATEMENT
Series statement Studies in Computational Intelligence,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Part I: Introduction -- Exploring Grouping Problems in Industry -- Complicating Features in Grouping Problems -- Part II: Grouping Genetic Algorithms -- Crouping Genetic Algorithms -- Fuzzy Grouping Genetic Algorithms -- Research Applications -- Fleet Size and Mix Vehicle Routing -- Heterogeneous Vehicle Routing -- Bin Packing: Container-Loading Problems with Compartments -- Homecare Staff Scheduling -- Task Assignment in Home Healthcare Services -- Nursing-Care Task Assignment -- Cell-Manufacturing Systems Design -- Cutting Stock Problem -- Assembly-Line Balancing -- Job-Shop Scheduling -- Equal Piles Problem -- Advertisement Allocation -- Part IV: Conclusions -- Concluding Remarks -- Further Research Considerations.
520 ## - SUMMARY, ETC.
Summary, etc This book presents advances and innovations in grouping genetic algorithms, enriched with new and unique heuristic optimization techniques. These algorithms are specially designed for solving industrial grouping problems where system entities are to be partitioned or clustered into efficient groups according to a set of guiding decision criteria. Examples of such problems are: vehicle routing problems, team formation problems, timetabling problems, assembly line balancing, group maintenance planning, modular design, and task assignment. A wide range of industrial grouping problems, drawn from diverse fields such as logistics, supply chain management, project management, manufacturing systems, engineering design and healthcare, are presented. Typical complex industrial grouping problems, with multiple decision criteria and constraints, are clearly described using illustrative diagrams and formulations. The problems are mapped into a common group structure that can conveniently be used as an input scheme to specific variants of grouping genetic algorithms. Unique heuristic grouping techniques are developed to handle grouping problems efficiently and effectively. Illustrative examples and computational results are presented in tables and graphs to demonstrate the efficiency and effectiveness of the algorithms. Researchers, decision analysts, software developers, and graduate students from various disciplines will find this in-depth reader-friendly exposition of advances and applications of grouping genetic algorithms an interesting, informative and valuable resource.
700 1# - AUTHOR 2
Author 2 Mbohwa, Charles.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-319-44394-2
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2017.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational intelligence.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Operations research.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Industrial engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Production engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Management science.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational Intelligence.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Operations Research and Decision Theory.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial Intelligence.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Industrial and Production Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Operations Research, Management Science .
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 1860-9503 ;
912 ## -
-- ZDB-2-ENG
912 ## -
-- ZDB-2-SXE

No items available.