metaheuristics for hard optimization methods and case studies

Download Book Metaheuristics For Hard Optimization Methods And Case Studies in PDF format. You can Read Online Metaheuristics For Hard Optimization Methods And Case Studies here in PDF, EPUB, Mobi or Docx formats.

Metaheuristics For Hard Optimization

Author : Johann Dréo
ISBN : 9783540309666
Genre : Mathematics
File Size : 60. 36 MB
Format : PDF, Mobi
Download : 393
Read : 1021

Get This Book


Contains case studies from engineering and operations research Includes commented literature for each chapter

Metaheuristics For Hard Optimization

Author : Johann Dréo
ISBN : 9783540230229
Genre : Business & Economics
File Size : 29. 46 MB
Format : PDF
Download : 554
Read : 1325

Get This Book


Contains case studies from engineering and operations research Includes commented literature for each chapter

Metaheuristics For Hard Optimization

Author : Johann Dréo
ISBN : 364206194X
Genre : Mathematics
File Size : 83. 35 MB
Format : PDF
Download : 992
Read : 941

Get This Book


Contains case studies from engineering and operations research Includes commented literature for each chapter

Metaheuristics In Water Geotechnical And Transport Engineering

Author : Xin-She Yang
ISBN : 9780123982964
Genre : Technology & Engineering
File Size : 50. 50 MB
Format : PDF, ePub
Download : 546
Read : 1021

Get This Book


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

Metaheuristic Applications In Structures And Infrastructures

Author : Amir Hossein Gandomi
ISBN : 9780123983794
Genre : Technology & Engineering
File Size : 70. 85 MB
Format : PDF, ePub
Download : 632
Read : 1306

Get This Book


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 examines the latest developments of metaheuristics and their applications in structural engineering, construction engineering and earthquake engineering, offering practical case studies as examples to demonstrate real-world applications. Topics cover a range of areas within engineering, including big bang-big crunch approach, genetic algorithms, genetic programming, harmony search, swarm intelligence and some other metaheuristic methods. Case studies include structural identification, vibration analysis and control, topology optimization, transport infrastructure design, design of reinforced concrete, performance-based design of structures and smart pavement management. With its wide range of everyday problems and solutions, Metaheursitic Applications in Structures and Infrastructures can serve as a supplementary text for design courses and computation in engineering as well as a reference for researchers and engineers in metaheuristics, optimization in civil engineering and computational intelligence. Review of the latest development of metaheuristics in engineering. Detailed algorithm descriptions with focus on practical implementation. Uses practical case studies as examples and applications.

Advances In Metaheuristics For Hard Optimization

Author : Patrick Siarry
ISBN : 3540729607
Genre : Mathematics
File Size : 55. 12 MB
Format : PDF
Download : 339
Read : 1087

Get This Book


Many advances have recently been made in metaheuristic methods, from theory to applications. The editors, both leading experts in this field, have assembled a team of researchers to contribute 21 chapters organized into parts on simulated annealing, tabu search, ant colony algorithms, general purpose studies of evolutionary algorithms, applications of evolutionary algorithms, and metaheuristics.

Multiobjective Optimization

Author : Yann Collette
ISBN : 9783662088838
Genre : Mathematics
File Size : 58. 65 MB
Format : PDF, ePub, Mobi
Download : 329
Read : 223

Get This Book


This text offers many multiobjective optimization methods accompanied by analytical examples, and it treats problems not only in engineering but also operations research and management. It explains how to choose the best method to solve a problem and uses three primary application examples: optimization of the numerical simulation of an industrial process; sizing of a telecommunication network; and decision-aid tools for the sorting of bids.

Metaheuristics

Author : El-Ghazali Talbi
ISBN : 0470496908
Genre : Computers
File Size : 67. 75 MB
Format : PDF, ePub, Docs
Download : 566
Read : 272

Get This Book


A unified view of metaheuristics This book provides a complete background on metaheuristics and shows readers how to design and implement efficient algorithms to solve complex optimization problems across a diverse range of applications, from networking and bioinformatics to engineering design, routing, and scheduling. It presents the main design questions for all families of metaheuristics and clearly illustrates how to implement the algorithms under a software framework to reuse both the design and code. Throughout the book, the key search components of metaheuristics are considered as a toolbox for: Designing efficient metaheuristics (e.g. local search, tabu search, simulated annealing, evolutionary algorithms, particle swarm optimization, scatter search, ant colonies, bee colonies, artificial immune systems) for optimization problems Designing efficient metaheuristics for multi-objective optimization problems Designing hybrid, parallel, and distributed metaheuristics Implementing metaheuristics on sequential and parallel machines Using many case studies and treating design and implementation independently, this book gives readers the skills necessary to solve large-scale optimization problems quickly and efficiently. It is a valuable reference for practicing engineers and researchers from diverse areas dealing with optimization or machine learning; and graduate students in computer science, operations research, control, engineering, business and management, and applied mathematics.

Search And Optimization By Metaheuristics

Author : Ke-Lin Du
ISBN : 9783319411927
Genre : Computers
File Size : 21. 56 MB
Format : PDF, Docs
Download : 832
Read : 846

Get This Book


This textbook provides a comprehensive introduction to nature-inspired metaheuristic methods for search and optimization, including the latest trends in evolutionary algorithms and other forms of natural computing. Over 100 different types of these methods are discussed in detail. The authors emphasize non-standard optimization problems and utilize a natural approach to the topic, moving from basic notions to more complex ones. An introductory chapter covers the necessary biological and mathematical backgrounds for understanding the main material. Subsequent chapters then explore almost all of the major metaheuristics for search and optimization created based on natural phenomena, including simulated annealing, recurrent neural networks, genetic algorithms and genetic programming, differential evolution, memetic algorithms, particle swarm optimization, artificial immune systems, ant colony optimization, tabu search and scatter search, bee and bacteria foraging algorithms, harmony search, biomolecular computing, quantum computing, and many others. General topics on dynamic, multimodal, constrained, and multiobjective optimizations are also described. Each chapter includes detailed flowcharts that illustrate specific algorithms and exercises that reinforce important topics. Introduced in the appendix are some benchmarks for the evaluation of metaheuristics. Search and Optimization by Metaheuristics is intended primarily as a textbook for graduate and advanced undergraduate students specializing in engineering and computer science. It will also serve as a valuable resource for scientists and researchers working in these areas, as well as those who are interested in search and optimization methods.

Recent Developments In Metaheuristics

Author : Lionel Amodeo
ISBN : 9783319582535
Genre : Business & Economics
File Size : 87. 50 MB
Format : PDF, ePub, Docs
Download : 666
Read : 424

Get This Book


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. The techniques described help to enhance the usability and increase the potential of metaheuristic algorithms. Part II showcases advanced metaheuristic approaches to solve real-life applications issues. This includes an examination of scheduling, the vehicle routing problem, multimedia sensor network, supplier selection, bin packing, objects tracking, and radio frequency identification. In the fields covered in the chapters are of high-impact applications of metaheuristics. The chapters offer innovative applications of metaheuristics that have a potential of widening research frontiers. Altogether, this book offers a comprehensive look at how researchers are currently using metaheuristics in different domains of design and application.

Top Download:

Best Books