| 000 | 03599cam a2200613Ia 4500 | ||
|---|---|---|---|
| 001 | u380520 | ||
| 003 | SIRSI | ||
| 005 | 20160812084652.0 | ||
| 006 | m o d | ||
| 007 | cr cnu---unuuu | ||
| 008 | 120906s2012 ne a ob 000 0 eng d | ||
| 040 |
_aOPELS _beng _epn _cOPELS _dNT _dYDXCP _dCDX _dCOO _dEBLCP _dCUV _dOCLCF _dDEBBG _dLRU _dOCLCQ _dNLGGC |
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| 019 | _a826897308 | ||
| 020 | _a9780123983176 (electronic bk.) | ||
| 020 | _a0123983177 (electronic bk.) | ||
| 020 | _a9781283619912 (MyiLibrary) | ||
| 020 | _a1283619911 (MyiLibrary) | ||
| 020 | _z9780123982964 | ||
| 020 | _z0123982960 | ||
| 029 | 1 |
_aAU@ _b000050086679 |
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| 029 | 1 |
_aDEBBG _bBV041056986 |
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| 029 | 1 |
_aDEBSZ _b405344619 |
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| 029 | 1 |
_aNZ1 _b15190886 |
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| 029 | 1 |
_aNLGGC _b352152095 |
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| 050 | 4 |
_aQA402.5 _b.M48 2013 |
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| 082 | 0 | 4 |
_a519.6 _223 |
| 084 |
_a54.10 _2bcl |
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| 049 | _aTEFA | ||
| 245 | 0 | 0 |
_aMetaheuristics in water, geotechnical and transport engineering _h[recurso electrónico] / _cedited by Xin-She Yang [and others]. |
| 250 | _a1st ed. | ||
| 260 |
_aAmsterdam ; _aBoston : _bElsevier, _c2012. |
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| 300 |
_a1 online resource (xvii, 484 pages) : _billustrations. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 490 | 1 | _aElsevier insights | |
| 504 | _aIncludes bibliographical references. | ||
| 505 | 0 | _apt. 1. Water resources -- pt. 2. Geotechnical engineering -- pt. 3. Transport engineering. | |
| 520 | _a"Due to an ever-decreasing supply in raw materials and stringent constraints on conventional energy sources, demand for lightweight, efficient and low cost structures has become crucially important in modern engineering design. This requires engineers to search for optimal and robust design options to address design problems that are often large in scale and highly nonlinear, making finding solutions challenging. In the past two decades, metaheuristic algorithms have shown promising power, efficiency and versatility in solving these difficult optimization problems. This book examines the latest developments of metaheuristics and their applications in water, geotechnical and transport engineering offering practical case studies as examples to demonstrate real world applications. Topics cover a range of areas within engineering, including reviews of optimization algorithms, artificial intelligence, cuckoo search, genetic programming, neural networks, multivariate adaptive regression, swarm intelligence, genetic algorithms, ant colony optimization, evolutionary multiobjective optimization with diverse applications in engineering such as behavior of materials, geotechnical design, flood control, water distribution and signal networks."--Publisher's website. | ||
| 588 | 0 | _aPrint version record. | |
| 650 | 0 | _aMathematical optimization. | |
| 650 | 0 | _aEngineering mathematics. | |
| 650 | 7 |
_aMATHEMATICS _xOptimization. _2bisacsh |
|
| 650 | 7 |
_aEngineering mathematics. _2fast _0(OCoLC)fst00910601 |
|
| 650 | 7 |
_aMathematical optimization. _2fast _0(OCoLC)fst01012099 |
|
| 655 | 4 | _aElectronic books. | |
| 700 | 1 | _aYang, Xin-She. | |
| 776 | 0 | 8 |
_iPrint version: _tMetaheuristics in water, geotechnical and transport engineering. _b1st ed. _dAmsterdam ; Oxford : Elsevier, 2012 _z9780123982964 _w(OCoLC)797975112 |
| 830 | 0 | _aElsevier insights. | |
| 856 | 4 | 0 |
_zLibro electrónico _3ScienceDirect _uhttp://148.231.10.114:2048/login?url=http://www.sciencedirect.com/science/book/9780123982964 |
| 596 | _a19 | ||
| 942 | _cLIBRO_ELEC | ||
| 999 |
_c207441 _d207441 |
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