Genetic Algorithms and Engineering Design

Pirmais vāks
John Wiley & Sons, 1997. gada 21. janv. - 432 lappuses
The last few years have seen important advances in the use ofgenetic algorithms to address challenging optimization problems inindustrial engineering. Genetic Algorithms and Engineering Designis the only book to cover the most recent technologies and theirapplication to manufacturing, presenting a comprehensive and fullyup-to-date treatment of genetic algorithms in industrialengineering and operations research.

Beginning with a tutorial on genetic algorithm fundamentals andtheir use in solving constrained and combinatorial optimizationproblems, the book applies these techniques to problems in specificareas--sequencing, scheduling and production plans, transportationand vehicle routing, facility layout, location-allocation, andmore. Each topic features a clearly written problem description,mathematical model, and summary of conventional heuristicalgorithms. All algorithms are explained in intuitive, rather thanhighly-technical, language and are reinforced with illustrativefigures and numerical examples.

Written by two internationally acknowledged experts in the field,Genetic Algorithms and Engineering Design features originalmaterial on the foundation and application of genetic algorithms,and also standardizes the terms and symbols used in othersources--making this complex subject truly accessible to thebeginner as well as to the more advanced reader.

Ideal for both self-study and classroom use, this self-containedreference provides indispensable state-of-the-art guidance toprofessionals and students working in industrial engineering,management science, operations research, computer science, andartificial intelligence. The only comprehensive, state-of-the-arttreatment available on the use of genetic algorithms in industrialengineering and operations research . . .

Written by internationally recognized experts in the field ofgenetic algorithms and artificial intelligence, Genetic Algorithmsand Engineering Design provides total coverage of currenttechnologies and their application to manufacturing systems.Incorporating original material on the foundation and applicationof genetic algorithms, this unique resource also standardizes theterms and symbols used in other sources--making this complexsubject truly accessible to students as well as experiencedprofessionals. Designed for clarity and ease of use, thisself-contained reference:
* Provides a comprehensive survey of selection strategies, penaltytechniques, and genetic operators used for constrained andcombinatorial optimization problems
* Shows how to use genetic algorithms to make production schedules,solve facility/location problems, make transportation/vehiclerouting plans, enhance system reliability, and much more
* Contains detailed numerical examples, plus more than 160auxiliary figures to make solution procedures transparent andunderstandable

No grāmatas satura

Saturs

I
1
II
7
III
16
IV
20
V
31
VI
34
VII
42
IX
49
XXXIII
191
XXXIV
197
XXXV
202
XXXVI
223
XXXVII
226
XXXVIII
228
XXXIX
230
XL
231

X
68
XI
76
XII
83
XIII
97
XIV
98
XV
103
XVI
107
XVII
118
XVIII
128
XIX
133
XXI
139
XXII
144
XXIII
151
XXIV
156
XXV
163
XXVI
173
XXVII
174
XXVIII
176
XXIX
179
XXX
182
XXXI
186
XXXII
190
XLI
234
XLII
244
XLIII
247
XLIV
249
XLV
253
XLVI
262
XLVII
263
XLVIII
271
XLIX
278
L
283
LI
292
LII
293
LIII
295
LIV
299
LV
310
LVI
330
LVII
341
LVIII
359
LIX
366
LX
373
Autortiesības

Citi izdevumi - Skatīt visu

Bieži izmantoti vārdi un frāzes

Par autoru (1997)

MITSUO GEN, PhD, is a professor in the Department of Industrial andSystems Engineering at the Ashikaga Institute of Technology inJapan. An associate editor of the Engineering Design and AutomationJournal and Journal of Engineering Valuation & Cost Analysis,he is also a member of the international editorial advisory boardof Computers & Industrial Engineering. He is the author of twoother books, Linear Programming Using Turbo C and Goal ProgrammingUsing Turbo C.

RUNWEI CHENG, PhD, is a visiting associate professor at theAshikaga Institute of Technology in Japan and also an associateprofessor at the Institute of Systems Engineering at NortheastUniversity in China. Both authors are internationally known expertsin the application of genetic algorithms and artificialintelligence to the field of manufacturing systems.

Bibliogrāfiskā informācija