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| 020 | _a9783030264581 | ||
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_a10.1007/978-3-030-26458-1 _2doi |
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_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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_aQA76.9 .N38 _b2020 EB |
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| 245 | 0 | 0 |
_aNature-Inspired Methods for Metaheuristics Optimization : _bAlgorithms and Applications in Science and Engineering _cedited by Fouad Bennis, Rajib Kumar Bhattacharjya |
| 250 | _aPrimera edición 2020 | ||
| 264 | 1 |
_aCham _bSpringer _c2020 |
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| 300 |
_a1 recurso en línea (XIII, 502 páginas) _b 252 ilustraciones, 110 ilustraciones a color. |
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| 336 |
_2rdacontent _aTexto _btxt |
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_2rdamedia _aelectrónico _bc |
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_2rdacarrier _arecurso electrónico _bcr |
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_atext file _bPDF |
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_aModeling and Optimization in Science and Technologies _x2196-7326 _v16 |
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| 490 | 0 | _aEngineering (Springer-11647) | |
| 505 | 0 | _aPart I. Algorithms: 1. Genetic algorithms: A mature bio-inspired optimization technique for difficult problems -- 2. Introduction to Genetic Algorithm with a Simple Analogy -- 3. Interactive genetic algorithm to collect user perceptions. Application to the design of stemmed glasses -- 4. Differential Evolution and its application in Identification of Virus Release Location in a Sewer Line -- 5. Artificial Bee Colony Algorithm and An Application to Software Defect Prediction -- 6. Firefly Algorithm and its Applications in Engineering Optimization -- 7. Introduction to Shuffled Frog Leaping Algorithm and its Sensitivity to the Parameters of the Algorithm -- 8. Groundwater Management using Coupled Analytic Element based Transient Groundwater Flow and Optimization Model -- 9. Investigation of Bacterial Foraging Algorithm applied for PV parameter estimation, Selective harmonic elimination in inverters and optimal power flow for stability -- 10. Application of artificial immune system in Optimal Design of Irrigation Canal -- 11. Biogeography Based Optimization for Water Pump Switching Problem -- 12. Introduction to Invasive Weed Optimization Method -- 13. Single-Level Production Planning in Petrochemical Industries using Novel Computational Intelligence Algorithms -- 14. A Multi-Agent platform to support knowledge based modelling in engineering Design -- Part II. Applications: 15. Synthesis of reference trajectories for humanoid robot supported by genetic algorithm -- 16. Linked Simulation Optimization Model for Evaluation of Optimal Bank Protection Measures -- 17. A GA Based Iterative Model for Identification of Unknown Groundwater Pollution Sources Considering Noisy Data -- 18. Efficiency of Binary Coded Genetic Algorithm in Stability Analysis of an Earthen Slope -- 19. Corridor allocation as a constrained optimization problem using a permutation-based multi-objective genetic algorithm -- 20. The constrained single-row facility layout problem with repairing mechanisms -- 21. Geometric size optimization of annular step fin array for heat transfer by natural convection -- 22. Optimal control of saltwater intrusion in coastal aquifers using analytical approximation based on density dependent flow correction -- 23. Dynamic Nonlinear Active Noise Control. A Multi-Objective Evolutionary Computing Approach -- 24. Scheduling of Jobs on Dissimilar Parallel Machine using Computational Intelligence Algorithms -- 25. Branch-and-Bound Method for Just-in-Time Optimization of Radar Search Patterns -- 26. Optimization of the GIS based DRASTIC model for Groundwater Vulnerability Assessment. | |
| 520 | 3 | _aThis book gathers together a set of chapters covering recent development in optimization methods that are inspired by nature. The first group of chapters describes in detail different meta-heuristic algorithms, and shows their applicability using some test or real-world problems. The second part of the book is especially focused on advanced applications and case studies. They span different engineering fields, including mechanical, electrical and civil engineering, and earth/environmental science, and covers topics such as robotics, water management, process optimization, among others. The book covers both basic concepts and advanced issues, offering a timely introduction to nature-inspired optimization method for newcomers and students, and a source of inspiration as well as important practical insights to engineers and researchers. | |
| 988 | _aPrimersemestre_2020_Engineering | ||
| 650 | 7 |
_2embne _aProceso en lenguaje natural (Informática) _9158738 |
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| 650 | 7 |
_2embne _aBioinformática _9160489 |
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| 700 | 1 |
_aBennis, Fouad _eeditor |
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| 700 | 1 |
_aBhattacharjya, Rajib Kumar _eeditor |
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| 773 | 0 | _tSpringer eBooks | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030264574 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030264598 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030264604 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-26458-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
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_2lcc _cLE _n0 |
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| 998 |
_b04/2020 _dz _eu _zSI |
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