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| 005 | 20200229172738.0 | ||
| 008 | 200201b ||||| |||| 00| 0 eng d | ||
| 020 | _a9788126528042 | ||
| 040 | _cVITAP | ||
| 082 |
_223rd _a519.3 DEB |
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| 100 |
_97967 _aDeb, Kalyanmoy |
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| 245 |
_aMulti-Objective Optimization using Evolutionary Algorithms / _cKalyanmoy Deb |
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| 260 |
_aNew Delhi _bWiley India Pvt. Ltd. _c2014 |
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| 300 |
_axix, 515p. : ill. ; _c23cm |
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| 500 | _aIt includes Epilogue, References and Index Pages Evolutionary algorithms are relatively new, but very powerful techniques used to find solutions to many real-world search and optimization problems. Many of these problems have multiple objectives, which leads to the need to obtain a set of optimal solutions, known as effective solutions. It has been found that using evolutionary algorithms is a highly effective way of finding multiple effective solutions in a single simulation run. | ||
| 653 | _aMathematical optimization; Multiple criteria decision making; Evolutionary programming (Computer science); Algorithms | ||
| 856 | _uhttps://www.wileyindia.com/multi-objective-optimization-using-evolutionary-algorithms.html | ||
| 942 |
_2ddc _cBK _h519.3 DEB |
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