Evolutionary Algorithms / / Eisuke Kita, editor.
Evolutionary algorithms are successively applied to wide optimization problems in the engineering, marketing, operations research, and social science, such as include scheduling, genetics, material selection, structural design and so on. Apart from mathematical optimization problems, evolutionary al...
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| Place / Publishing House: | Rijeka, Croatia : : IntechOpen,, [2011] ©2011 |
| Year of Publication: | 2011 |
| Language: | English |
| Physical Description: | 1 online resource (598 pages) :; illustrations |
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| 260 | |b IntechOpen |c 2011 | ||
| 264 | 1 | |a Rijeka, Croatia : |b IntechOpen, |c [2011] | |
| 264 | 4 | |c ©2011 | |
| 300 | |a 1 online resource (598 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 588 | |a Description based on: online resource; title from PDF information screen (InTech, viewed October 19, 2022). | ||
| 504 | |a Includes bibliographical references and index. | ||
| 520 | |a Evolutionary algorithms are successively applied to wide optimization problems in the engineering, marketing, operations research, and social science, such as include scheduling, genetics, material selection, structural design and so on. Apart from mathematical optimization problems, evolutionary algorithms have also been used as an experimental framework within biological evolution and natural selection in the field of artificial life. | ||
| 546 | |a English | ||
| 650 | 0 | |a Genetic algorithms. | |
| 653 | |a Physical Sciences | ||
| 653 | |a Engineering and Technology | ||
| 653 | |a Algorithm Analysis | ||
| 653 | |a Computer and Information Science | ||
| 653 | |a Numerical Analysis and Scientific Computing | ||
| 776 | |z 953-307-171-0 | ||
| 700 | 1 | |a Kita, Eisuke, |e editor. | |
| 906 | |a BOOK | ||
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