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 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

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  • Author : Xin-She Yang
  • Publisher : Newnes
  • Pages : 496 pages
  • ISBN : 0123983177
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKMetaheuristics in Water Geotechnical and Transport Engineering

Metaheuristics in Water, Geotechnical and Transport Engineering

Metaheuristics in Water, Geotechnical and Transport Engineering
  • Author : Xin-She Yang,Amir Hossein Gandomi,Siamak Talatahari,Amir Hossein Alavi
  • Publisher : Newnes
  • Release : 31 December 2012
GET THIS BOOKMetaheuristics 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 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

Metaheuristics in Water, Geotechnical and Transport Engineering

Metaheuristics in Water, Geotechnical and Transport Engineering
  • Author : Xin-She Yang,Amir Hossein Gandomi,Siamak Talatahari,Amir Hossein Alavi
  • Publisher : Newnes
  • Release : 19 January 2022
GET THIS BOOKMetaheuristics 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 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

Metaheuristic Applications in Structures and Infrastructures

Metaheuristic Applications in Structures and Infrastructures
  • Author : Amir Hossein Gandomi,Xin-She Yang,Siamak Talatahari,Amir Hossein Alavi
  • Publisher : Newnes
  • Release : 31 January 2013
GET THIS BOOKMetaheuristic Applications in Structures and Infrastructures

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 commonly 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

Earthquake Geotechnical Engineering for Protection and Development of Environment and Constructions

Earthquake Geotechnical Engineering for Protection and Development of Environment and Constructions
  • Author : Francesco Silvestri,Nicola Moraci
  • Publisher : CRC Press
  • Release : 22 October 2019
GET THIS BOOKEarthquake Geotechnical Engineering for Protection and Development of Environment and Constructions

Earthquake Geotechnical Engineering for Protection and Development of Environment and Constructions contains invited, keynote and theme lectures and regular papers presented at the 7th International Conference on Earthquake Geotechnical Engineering (Rome, Italy, 17-20 June 2019. The contributions deal with recent developments and advancements as well as case histories, field monitoring, experimental characterization, physical and analytical modelling, and applications related to the variety of environmental phenomena induced by earthquakes in soils and their effects on engineered systems interacting with them. The book

Applications of Flower Pollination Algorithm and its Variants

Applications of Flower Pollination Algorithm and its Variants
  • Author : Nilanjan Dey
  • Publisher : Springer Nature
  • Release : 13 May 2021
GET THIS BOOKApplications of Flower Pollination Algorithm and its Variants

This book presents essential concepts of traditional Flower Pollination Algorithm (FPA) and its recent variants and also its application to find optimal solution for a variety of real-world engineering and medical problems. Swarm intelligence-based meta-heuristic algorithms are extensively implemented to solve a variety of real-world optimization problems due to its adaptability and robustness. FPA is one of the most successful swarm intelligence procedures developed in 2012 and extensively used in various optimization tasks for more than a decade. The mathematical model

Advances in Structural Engineering—Optimization

Advances in Structural Engineering—Optimization
  • Author : Sinan Melih Nigdeli,Gebrail Bekdaş,Aylin Ece Kayabekir,Melda Yucel
  • Publisher : Springer Nature
  • Release : 04 December 2020
GET THIS BOOKAdvances in Structural Engineering—Optimization

This book is an up-to-date source for computation applications of optimization, prediction via artificial intelligence methods, and evaluation of metaheuristic algorithm with different structural applications. As the current interest of researcher, metaheuristic algorithms are a high interest topic area since advance and non-optimized problems via mathematical methods are challenged by the development of advance and modified algorithms. The artificial intelligence (AI) area is also important in predicting optimum results by skipping long iterative optimization processes. The machine learning used in

Nature-Inspired Computation in Data Mining and Machine Learning

Nature-Inspired Computation in Data Mining and Machine Learning
  • Author : Xin-She Yang,Xing-Shi He
  • Publisher : Springer Nature
  • Release : 03 September 2019
GET THIS BOOKNature-Inspired Computation in Data Mining and Machine Learning

This book reviews the latest developments in nature-inspired computation, with a focus on the cross-disciplinary applications in data mining and machine learning. Data mining, machine learning and nature-inspired computation are current hot research topics due to their importance in both theory and practical applications. Adopting an application-focused approach, each chapter introduces a specific topic, with detailed descriptions of relevant algorithms, extensive literature reviews and implementation details. Covering topics such as nature-inspired algorithms, swarm intelligence, classification, clustering, feature selection, cybersecurity, learning

Big Data in Engineering Applications

Big Data in Engineering Applications
  • Author : Sanjiban Sekhar Roy,Pijush Samui,Ravinesh Deo,Stavros Ntalampiras
  • Publisher : Springer
  • Release : 02 May 2018
GET THIS BOOKBig Data in Engineering Applications

This book presents the current trends, technologies, and challenges in Big Data in the diversified field of engineering and sciences. It covers the applications of Big Data ranging from conventional fields of mechanical engineering, civil engineering to electronics, electrical, and computer science to areas in pharmaceutical and biological sciences. This book consists of contributions from various authors from all sectors of academia and industries, demonstrating the imperative application of Big Data for the decision-making process in sectors where the volume,

Handbook of Genetic Programming Applications

Handbook of Genetic Programming Applications
  • Author : Amir H. Gandomi,Amir H. Alavi,Conor Ryan
  • Publisher : Springer
  • Release : 06 November 2015
GET THIS BOOKHandbook of Genetic Programming Applications

This contributed volume, written by leading international researchers, reviews the latest developments of genetic programming (GP) and its key applications in solving current real world problems, such as energy conversion and management, financial analysis, engineering modeling and design, and software engineering, to name a few. Inspired by natural evolution, the use of GP has expanded significantly in the last decade in almost every area of science and engineering. Exploring applications in a variety of fields, the information in this volume

Adaptation and Hybridization in Computational Intelligence

Adaptation and Hybridization in Computational Intelligence
  • Author : Iztok Fister,Iztok Fister Jr.
  • Publisher : Springer
  • Release : 24 January 2015
GET THIS BOOKAdaptation and Hybridization in Computational Intelligence

This carefully edited book takes a walk through recent advances in adaptation and hybridization in the Computational Intelligence (CI) domain. It consists of ten chapters that are divided into three parts. The first part illustrates background information and provides some theoretical foundation tackling the CI domain, the second part deals with the adaptation in CI algorithms, while the third part focuses on the hybridization in CI. This book can serve as an ideal reference for researchers and students of computer

Advances in Neural Networks – ISNN 2019

Advances in Neural Networks – ISNN 2019
  • Author : Huchuan Lu,Huajin Tang,Zhanshan Wang
  • Publisher : Springer
  • Release : 26 June 2019
GET THIS BOOKAdvances in Neural Networks – ISNN 2019

This two-volume set LNCS 11554 and 11555 constitutes the refereed proceedings of the 16th International Symposium on Neural Networks, ISNN 2019, held in Moscow, Russia, in July 2019. The 111 papers presented in the two volumes were carefully reviewed and selected from numerous submissions. The papers were organized in topical sections named: Learning System, Graph Model, and Adversarial Learning; Time Series Analysis, Dynamic Prediction, and Uncertain Estimation; Model Optimization, Bayesian Learning, and Clustering; Game Theory, Stability Analysis, and Control Method; Signal Processing, Industrial Application, and

10th International Conference on Soft Computing Models in Industrial and Environmental Applications

10th International Conference on Soft Computing Models in Industrial and Environmental Applications
  • Author : Álvaro Herrero,Javier Sedano,Bruno Baruque,Héctor Quintián,Emilio Corchado
  • Publisher : Springer
  • Release : 31 May 2015
GET THIS BOOK10th International Conference on Soft Computing Models in Industrial and Environmental Applications

This volume of Advances in Intelligent and Soft Computing contains accepted papers presented at the 10th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2015), held in the beautiful and historic city of Burgos (Spain), in June 2015. Soft computing represents a collection or set of computational techniques in machine learning, computer science and some engineering disciplines, which investigate, simulate and analyze very complex issues and phenomena. This Conference is mainly focused on its industrial and environmental applications.

Recent Developments in Metaheuristics

Recent Developments in Metaheuristics
  • Author : Lionel Amodeo,El-Ghazali Talbi,Farouk Yalaoui
  • Publisher : Springer
  • Release : 18 September 2017
GET THIS BOOKRecent Developments in Metaheuristics

This book highlights state-of-the-art developments in metaheuristics research. It examines all aspects of metaheuristic research including new algorithmic developments, applications, new research challenges, theoretical developments, implementation issues, in-depth experimental studies. The book is divided into two sections. Part I is focused on new optimization and modeling techniques based on metaheuristics. The chapters in this section cover topics from multi-objective problems with fuzzy data with triangular-valued objective functions, to hyper-heuristics optimization methodology, designing genetic algorithms, and also the cuckoo search algorithm.