| 000 -LEADER |
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| fixed length control field |
00652nam a2200205Ia 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
161214s9999 xx 000 0 und d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9780387332543 |
| Terms of availability |
(hbk) |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
005.1 |
| Item number |
COE |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Lamont, Gary B. |
| 245 #0 - TITLE STATEMENT |
|---|
| Title |
Evolutionary algorithms for solving multi-objective problems |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
2nd ed. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
New York: |
| Name of publisher, distributor, etc |
Springer, |
| Date of publication, distribution, etc |
2007 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xxi, 800 p.; |
| Other physical details |
ill.: |
| Dimensions |
24 cm. |
| 365 ## - TRADE PRICE |
|---|
| Price type code |
INR |
| Price amount |
4763.10 |
| 490 ## - SERIES STATEMENT |
|---|
| Series statement |
Genetic and eolutionary computation |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
The solving of multi-objective problems (MOPs) has been a continuing effort by humans in many diverse areas, including computer science, engineering, economics, finance, industry, physics, chemistry, and ecology, among others. Many powerful and deterministic and stochastic techniques for solving these large dimensional optimization problems have risen out of operations research, decision science, engineering, computer science and other related disciplines. The explosion in computing power continues to arouse extraordinary interest in stochastic search algorithms that require high computational speed and very large memories. A generic stochastic approach is that of evolutionary algorithms (EA). Such algorithms have been demonstrated to be very powerful and generally applicable for solving different single objective problems. Their fundamental algorithmic structures can also be applied to solving many multi-objective problems. In this book, the various features of multi-objective evolutionary algorithms (MOEAs) are presented in an innovative and unique fashion, with detailed customized forms suggested for a variety of applications. Also, extensive MOEA discussion questions and possible research directions are presented at the end of each chapter. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Evolutionary computation |
|
|---|
| Topical term or geographic name as entry element |
Evolutionary programming |
|
|---|
| Topical term or geographic name as entry element |
Artificial intelligence |
|
|---|
| Topical term or geographic name as entry element |
Information theory |
|
|---|
| Topical term or geographic name as entry element |
Moea Testing and Analysis |
|
|---|
| Topical term or geographic name as entry element |
Moea Theory |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Coello Coello, Carlos A. |
|
|---|
| Personal name |
Van Veldhuizen, David A. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Item type |
Books |