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Metaheuristics in Water, Geotechnical and Trans, Yang, Gandomi, Talatahari, -,
US $139.80
ApproximatelyRM 592.99
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Brand New
A new, unread, unused book in perfect condition with no missing or damaged pages.
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eBay item number:395155118770
Item specifics
- Condition
- Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
- PublishedOn
- 2016-06-02
- Title
- Metaheuristics in Water, Geotechnical and Transport Engineering
- Artist
- Not Specified
- ISBN
- 9780323282604
About this product
Product Identifiers
Publisher
Elsevier
ISBN-10
0323282601
ISBN-13
9780323282604
eBay Product ID (ePID)
229051549
Product Key Features
Number of Pages
504 Pages
Language
English
Publication Name
Metaheuristics in Water, Geotechnical and Transport Engineering
Subject
Engineering (General), Civil / General, Discrete Mathematics
Publication Year
2012
Type
Textbook
Subject Area
Mathematics, Technology & Engineering
Format
Trade Paperback
Dimensions
Item Height
1 in
Item Weight
23.6 Oz
Item Length
9 in
Item Width
6 in
Additional Product Features
Intended Audience
Scholarly & Professional
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
519.6
Table Of Content
1. Optimization and Metaheuristic Algorithms in Engineering 2.Application of Soft Computing Methods in Water Resources Engineering (Hazi Mohammad Azamathulla) 3.Genetic Algorithms and Their Applications to Water resources Systems 4.Application of Hybrid HS-Solver Algorithm to the Solution of Groundwater Management Problems 5.Evolutionary Multi-objective Optimization of the Water Distribution Networks 6.Ant Colony Optimization for Parameters Estimating of Flood Frequency Distributions 7.Optimal Reservoir Operation for Irrigation Planning Using Swarm Intelligence Algorithm 8.Artificial Intelligence in Geotechnical Engineering: Applications, Modelling Aspects and Future Directions 9.Hybrid heuristic optimization methods in geotechnical engineering 10.Artificial neural network in geotechncial engineering: modelling and application issues 11.Geotechnical Applications of Bayesian Neural Networks 12.Linear and Tree-Based Genetic Programming for Solving Geotechnical Engineering Problems 13.A New Approach to Modelling the Behaviour of Geomaterials 14.Slope Stability analysis using Metaheuristics 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.Multi-Objective Optimization of Delay and Stops in Traffic Signal Networks 18.An improved Hybrid Algorithm for Stochastic Bus-Network Design 19.Hybrid method and its application toward smart Pavement Management
Synopsis
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. Provides detailed descriptions of all major metaheuristic algorithms with a focus on practical implementationDevelops new hybrid and advanced methods suitable for civil engineering problems at all levelsAppropriate for researchers and advanced students to help to develop their work, 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. Provides detailed descriptions of all major metaheuristic algorithms with a focus on practical implementation Develops new hybrid and advanced methods suitable for civil engineering problems at all levels Appropriate for researchers and advanced students to help to develop their work, 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.
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Seller feedback (542,848)
- _***d (258)- Feedback left by buyer.Past monthVerified purchaseGreat value & condition
- 9***1 (549)- Feedback left by buyer.Past monthVerified purchaseA seller!
- _***i (1)- Feedback left by buyer.Past monthVerified purchaseBook arrived on time, securely packaged, and in perfect condition as was described. Excellent deal at very good price. Thank you for a wonderful experience! Highly recommended seller.