Metaheuristics in water, geotechnical and transport engineering
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 t...
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| Format: | Book |
| Language: | English |
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Amsterdam, Netherlands London, UK
Elsevier
2012
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| Call Number : | QA 402.5 .M483 2012 |
MARC
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| 008 | 131101s2012 ne a b 000 0 eng d | ||
| 020 | |a 9780123982964 | ||
| 039 | 9 | |a 201403281637 |b zul |c 201312101732 |d shahrim |c 201311280927 |d azraai |y 201311011155 |z hasniza | |
| 040 | |a UPNM | ||
| 090 | |a QA 402.5 |b .M483 2012 | ||
| 245 | 0 | 0 | |a Metaheuristics in water, geotechnical and transport engineering |c edited by Xin-She Yang ... [et al.] |
| 260 | |a Amsterdam, Netherlands |a London, UK |b Elsevier |c 2012 | ||
| 300 | |a xvii, 484 p. |b ill. |c 24 cm. | ||
| 504 | |a Includes bibliographical references and index | ||
| 505 | |a 1. Optimization and Metaheuristic Algorithms in Engineering -- Part One: Water Respources -- 2. A Review on Application of Soft Computing Methods in Water Resources Engineering -- 3. Genetic Algorithms and Their Applications to Water Resources Systems -- 4. Application of the Hybrid HS-Solver Algorithm to the Solution of Groundwater Management Problems -- 5. Water Distribution Networks Designing by the Multiobjective Genetic Algorithm and Game Theory -- 6. Ant Colony Optimization for Estimating Parameters of Flood Frequency Distributions -- 7. Optimal Reservoir Operation for Irrigation Planning Using the Swarm Intelligence Algorithm -- Part Two: Geotechnical Engineering -- 8. Artificial Intelligence in Geotechnical Engineering: Applications, Modeling Aspects, and Future Directions -- 9. Hybrid Heuristic Optimization Methods in Geotechnical Engineering -- 10. Artificial Neural Networks in Geotechnical Engineering: Modeling and Application Issues -- 11. Geotechnical Applications of Bayesian Neural Networks -- 12. Linear and Tree-Based Genetic Programming for Solving Geotechnical Engineering Problems -- 13. An EPR Approach to the Modeling of Civil and Geotechnical Engineering Systems -- 14. Slope Stability Analysis Using Multivariate Adaptive Regression Spline -- Part Three: Transport Engineering -- 15. Scheduling Transportation Networks and Reliability Analysis of Geostructures Using Metaheuristics -- 16. Metaheuristic Applications in Highway and Rail Infrastructure Planning and Design: Implications to Energy and Environmental Sustainability -- 17. Multiobjective Optimization of Delay and Stops in Traffic Signal Networks -- 18. An Improved Hybrid Algorithm for Stochastic Bus-Network Design -- 19. The Hybrid Method and its Application to Smart Pavement Management | ||
| 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. This book can serve as a supplementary text for design courses and computation in engineering as well as a reference for researchers and engineers in metaheursitics, optimization in civil engineering and computational intelligence. | ||
| 592 | |a INN/8906 |b 11/11/13 |b RM307.64 |h Innowawasan | ||
| 650 | 0 | |a Mathematical optimization | |
| 650 | 0 | |a Engineering mathematics | |
| 700 | 1 | |a Yang, Xin-She | |
| 999 | |a vtls000050856 |c 96578 |d 96578 | ||