Scatter search : methodology and implementations in C /

"The evolutionary approach called scatter search originated from strategies for creating composite decision rules and surrogate constraints. Recent studies demonstrate the practical advantages of this approach for solving a diverse array of optimization problems from both classical and real wor...

Full beskrivning

Sparad:
Bibliografiska uppgifter
Huvudupphovsman: Laguna, Manuel
Övriga upphovsmän: Martí, Rafael (Rafael Cunquero)
Materialtyp: Bok
Språk:English
Publicerad: Boston ; London : Kluwer Academic, c2003.
Serie:Operations research/computer science interfaces series ; ORCS 24
Ämnen:
Länkar:Publisher description
Table of contents only
LEADER 02971cam a2200421 a 4500
001 c000379767
003 CARM
005 20110211124942.0
008 110211s2003 mau b 001 0 eng d
010 |a 2002044444 
015 |a GBA3-23372 
019 1 |a 24292845  |z 24512373  |5 LACONCORD2021 
020 |a 1402073763  |c £80.00 
035 |a (OCoLC)51178222  |5 LACONCORD2021 
040 |a DLC  |b eng  |c DLC  |d OrLoB-B  |d DLC  |d NNCU:A  |d VVUT 
042 |a pcc 
050 0 0 |a QA76.618  |b .L34 2003 
082 0 4 |a 005.1  |2 21 
100 1 |a Laguna, Manuel. 
245 1 0 |a Scatter search :  |b methodology and implementations in C /  |c Manuel Laguna, Rafael Martí. 
260 |a Boston ;  |a London :  |b Kluwer Academic,  |c c2003. 
300 |a xvi, 291 p. ;  |c 24 cm. +  |e 1 CD-ROM(4 3/4 in.) 
490 0 |a Operations research/computer science interfaces series ;  |v ORCS 24 
500 |a CD-ROM in pocket attached to inside back cover. 
504 |a Includes bibliographical references and index. 
505 0 |a 1. Introduction -- 2. Tutorial: Unconstrained Nonlinear Optimization -- 3. Tutorial: 0-1 Knapsack Problems -- 4. Tutorial: Linear Ordering Problem -- 5. Advanced Scatter Search Designs -- 6. Use of Memory in Scatter Search -- 7. Connections with Other Population-Based Approaches -- 8. Scatter Search Applications -- 9. Commercial Scatter Search Implementation -- 10. Experiences and Future Directions. 
520 1 |a "The evolutionary approach called scatter search originated from strategies for creating composite decision rules and surrogate constraints. Recent studies demonstrate the practical advantages of this approach for solving a diverse array of optimization problems from both classical and real world settings. Scatter search contrasts with other evolutionary procedures, such as genetic algorithms, by providing unifying principles for joining solutions based on generalized path constructions in Euclidean space and by utilizing strategic designs where other approaches resort to randomization. The book's goal is to provide the basic principles and fundamental ideas that will allow the readers to create successful applications of scatter search. The book includes the C source code of the methods introduced in each chapter."--BOOK JACKET. 
650 0 |a Evolutionary programming (Computer science) 
650 0 |a Mathematical optimization. 
650 0 |a C (Computer program language) 
700 1 |a Martí, Rafael  |q (Rafael Cunquero) 
856 4 2 |3 Publisher description  |u http://www.loc.gov/catdir/enhancements/fy0820/2002044444-d.html 
856 4 1 |3 Table of contents only  |u http://www.loc.gov/catdir/enhancements/fy0820/2002044444-t.html 
852 8 |b CARM  |p 0530851  |f BK 
852 8 |b SCAN  |h A3:AF01G0  |i C12641  |p 0530851  |f BK 
999 f f |i 41bca4ca-2a13-51c5-97b2-d75c25219762  |s 1621d408-b663-5f79-a4cc-e7b82dec1530 
952 f f |p Can circulate  |a CAVAL  |b CAVAL  |c CAVAL  |d CARM 1 Store  |i book  |m 0530851 
952 f f |a CAVAL  |b CAVAL  |c CAVAL  |d Unmapped Location  |e C12641  |f A3:AF01G0  |h Other scheme