Discrete Cuckoo Search For Combinatorial Optimization

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Discrete Cuckoo Search for Combinatorial Optimization

Aziz Ouaarab
Discrete Cuckoo Search for Combinatorial Optimization Book PDF

Author : Aziz Ouaarab
Publisher : Springer Nature
Page : 138 pages
File Size : 44,9 Mb
Release : 2020-03-24
Category : Technology & Engineering
ISBN : 9789811538360

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Discrete Cuckoo Search for Combinatorial Optimization by Aziz Ouaarab Pdf

This book provides a literature review of techniques used to pass from continuous to combinatorial space, before discussing a detailed example with individual steps of how cuckoo search (CS) can be adapted to solve combinatorial optimization problems. It demonstrates the application of CS to three different problems and describes their source code. The content is divided into five chapters, the first of which provides a technical description, together with examples of combinatorial search spaces. The second chapter summarizes a diverse range of methods used to solve combinatorial optimization problems. In turn, the third chapter presents a description of CS, its formulation and characteristics. In the fourth chapter, the application of discrete cuckoo search (DCS) to solve three POCs (the traveling salesman problem, quadratic assignment problem and job shop scheduling problem) is explained, focusing mainly on a reinterpretation of the terminology used in CS and its source of inspiration. In closing, the fifth chapter discusses random-key cuckoo search (RKCS) using random keys to represent positions found by cuckoo search in the TSP and QAP solution space.

Discrete Problems in Nature Inspired Algorithms

Anupam Prof. Shukla,Ritu Tiwari
Discrete Problems in Nature Inspired Algorithms Book PDF

Author : Anupam Prof. Shukla,Ritu Tiwari
Publisher : CRC Press
Page : 392 pages
File Size : 47,7 Mb
Release : 2017-12-15
Category : Computers
ISBN : 9781351260862

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Discrete Problems in Nature Inspired Algorithms by Anupam Prof. Shukla,Ritu Tiwari Pdf

This book includes introduction of several algorithms which are exclusively for graph based problems, namely combinatorial optimization problems, path formation problems, etc. Each chapter includes the introduction of the basic traditional nature inspired algorithm and discussion of the modified version for discrete algorithms including problems pertaining to discussed algorithms.

Applied Optimization and Swarm Intelligence

Eneko Osaba,Xin-She Yang
Applied Optimization and Swarm Intelligence Book PDF

Author : Eneko Osaba,Xin-She Yang
Publisher : Springer Nature
Page : 236 pages
File Size : 50,6 Mb
Release : 2021-05-17
Category : Technology & Engineering
ISBN : 9789811606625

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Applied Optimization and Swarm Intelligence by Eneko Osaba,Xin-She Yang Pdf

This book gravitates on the prominent theories and recent developments of swarm intelligence methods, and their application in both synthetic and real-world optimization problems. The special interest will be placed in those algorithmic variants where biological processes observed in nature have underpinned the core operators underlying their search mechanisms. In other words, the book centers its attention on swarm intelligence and nature-inspired methods for efficient optimization and problem solving. The content of this book unleashes a great opportunity for researchers, lecturers and practitioners interested in swarm intelligence, optimization problems and artificial intelligence.

Local Search in Combinatorial Optimization

Emile Aarts,Jan Karel Lenstra
Local Search in Combinatorial Optimization Book PDF

Author : Emile Aarts,Jan Karel Lenstra
Publisher : Princeton University Press
Page : 525 pages
File Size : 44,9 Mb
Release : 2018-06-05
Category : Mathematics
ISBN : 9780691187563

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Local Search in Combinatorial Optimization by Emile Aarts,Jan Karel Lenstra Pdf

In the past three decades, local search has grown from a simple heuristic idea into a mature field of research in combinatorial optimization that is attracting ever-increasing attention. Local search is still the method of choice for NP-hard problems as it provides a robust approach for obtaining high-quality solutions to problems of a realistic size in reasonable time. Local Search in Combinatorial Optimization covers local search and its variants from both a theoretical and practical point of view, each topic discussed by a leading authority. This book is an important reference and invaluable source of inspiration for students and researchers in discrete mathematics, computer science, operations research, industrial engineering, and management science. In addition to the editors, the contributors are Mihalis Yannakakis, Craig A. Tovey, Jan H. M. Korst, Peter J. M. van Laarhoven, Alain Hertz, Eric Taillard, Dominique de Werra, Heinz Mühlenbein, Carsten Peterson, Bo Söderberg, David S. Johnson, Lyle A. McGeoch, Michel Gendreau, Gilbert Laporte, Jean-Yves Potvin, Gerard A. P. Kindervater, Martin W. P. Savelsbergh, Edward J. Anderson, Celia A. Glass, Chris N. Potts, C. L. Liu, Peichen Pan, Iiro Honkala, and Patric R. J. Östergård.

Cuckoo Search and Firefly Algorithm

Xin-She Yang
Cuckoo Search and Firefly Algorithm Book PDF

Author : Xin-She Yang
Publisher : Springer
Page : 360 pages
File Size : 42,9 Mb
Release : 2013-10-31
Category : Technology & Engineering
ISBN : 9783319021416

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Cuckoo Search and Firefly Algorithm by Xin-She Yang Pdf

Nature-inspired algorithms such as cuckoo search and firefly algorithm have become popular and widely used in recent years in many applications. These algorithms are flexible, efficient and easy to implement. New progress has been made in the last few years, and it is timely to summarize the latest developments of cuckoo search and firefly algorithm and their diverse applications. This book will review both theoretical studies and applications with detailed algorithm analysis, implementation and case studies so that readers can benefit most from this book. Application topics are contributed by many leading experts in the field. Topics include cuckoo search, firefly algorithm, algorithm analysis, feature selection, image processing, travelling salesman problem, neural network, GPU optimization, scheduling, queuing, multi-objective manufacturing optimization, semantic web service, shape optimization, and others. This book can serve as an ideal reference for both graduates and researchers in computer science, evolutionary computing, machine learning, computational intelligence, and optimization, as well as engineers in business intelligence, knowledge management and information technology.

Benchmarks and Hybrid Algorithms in Optimization and Applications

Xin-She Yang
Benchmarks and Hybrid Algorithms in Optimization and Applications Book PDF

Author : Xin-She Yang
Publisher : Springer Nature
Page : 250 pages
File Size : 42,8 Mb
Release : 2023-09-22
Category : Technology & Engineering
ISBN : 9789819939701

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Benchmarks and Hybrid Algorithms in Optimization and Applications by Xin-She Yang Pdf

This book is specially focused on the latest developments and findings on hybrid algorithms and benchmarks in optimization and their applications in sciences, engineering, and industries. The book also provides some comprehensive reviews and surveys on implementations and coding aspects of benchmarks. The book is useful for Ph.D. students and researchers with a wide experience in the subject areas and also good reference for practitioners from academia and industrial applications.

Recent Advances on Memetic Algorithms and its Applications in Image Processing

D. Jude Hemanth,B. Vinoth Kumar,G. R. Karpagam Manavalan
Recent Advances on Memetic Algorithms and its Applications in Image Processing Book PDF

Author : D. Jude Hemanth,B. Vinoth Kumar,G. R. Karpagam Manavalan
Publisher : Springer Nature
Page : 209 pages
File Size : 50,8 Mb
Release : 2019-12-07
Category : Technology & Engineering
ISBN : 9789811513626

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Recent Advances on Memetic Algorithms and its Applications in Image Processing by D. Jude Hemanth,B. Vinoth Kumar,G. R. Karpagam Manavalan Pdf

This book includes original research findings in the field of memetic algorithms for image processing applications. It gathers contributions on theory, case studies, and design methods pertaining to memetic algorithms for image processing applications ranging from defence, medical image processing, and surveillance, to computer vision, robotics, etc. The content presented here provides new directions for future research from both theoretical and practical viewpoints, and will spur further advances in the field.

Nature-Inspired Computation in Engineering

Xin-She Yang
Nature Inspired Computation in Engineering Book PDF

Author : Xin-She Yang
Publisher : Springer
Page : 276 pages
File Size : 52,9 Mb
Release : 2016-03-19
Category : Technology & Engineering
ISBN : 9783319302355

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Nature-Inspired Computation in Engineering by Xin-She Yang Pdf

This timely review book summarizes the state-of-the-art developments in nature-inspired optimization algorithms and their applications in engineering. Algorithms and topics include the overview and history of nature-inspired algorithms, discrete firefly algorithm, discrete cuckoo search, plant propagation algorithm, parameter-free bat algorithm, gravitational search, biogeography-based algorithm, differential evolution, particle swarm optimization and others. Applications include vehicle routing, swarming robots, discrete and combinatorial optimization, clustering of wireless sensor networks, cell formation, economic load dispatch, metamodeling, surrogated-assisted cooperative co-evolution, data fitting and reverse engineering as well as other case studies in engineering. This book will be an ideal reference for researchers, lecturers, graduates and engineers who are interested in nature-inspired computation, artificial intelligence and computational intelligence. It can also serve as a reference for relevant courses in computer science, artificial intelligence and machine learning, natural computation, engineering optimization and data mining.

Proceedings of the Third International Conference on Soft Computing for Problem Solving

Millie Pant,Kusum Deep,Atulya Nagar,Jagdish Chand Bansal
Proceedings of the Third International Conference on Soft Computing for Problem Solving Book PDF

Author : Millie Pant,Kusum Deep,Atulya Nagar,Jagdish Chand Bansal
Publisher : Springer
Page : 929 pages
File Size : 50,5 Mb
Release : 2014-07-08
Category : Technology & Engineering
ISBN : 9788132217718

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Proceedings of the Third International Conference on Soft Computing for Problem Solving by Millie Pant,Kusum Deep,Atulya Nagar,Jagdish Chand Bansal Pdf

The proceedings of SocProS 2013 serve as an academic bonanza for scientists and researchers working in the field of Soft Computing. This book contains theoretical as well as practical aspects of Soft Computing, an umbrella term for techniques like fuzzy logic, neural networks and evolutionary algorithms, swarm intelligence algorithms etc. This book will be beneficial for the young as well as experienced researchers dealing with complex and intricate real world problems for which finding a solution by traditional methods is very difficult. The different areas covered in the proceedings are: Image Processing, Cryptanalysis, Supply Chain Management, Newly Proposed Nature Inspired Algorithms, Optimization, Problems related to Medical and Health Care, Networking etc.

Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms: Theory and Applications

Oscar Castillo,Patricia Melin
Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms Theory and Applications Book PDF

Author : Oscar Castillo,Patricia Melin
Publisher : Springer Nature
Page : 383 pages
File Size : 53,5 Mb
Release : 2021-03-24
Category : Technology & Engineering
ISBN : 9783030687762

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Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms: Theory and Applications by Oscar Castillo,Patricia Melin Pdf

We describe in this book, recent developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, and their application in areas such as, intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. The book contains a collection of papers focused on hybrid intelligent systems based on soft computing. There are some papers with the main theme of type-1 and type-2 fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on type-1 and type-2 fuzzy logic and their applications. There also some papers that presents theory and practice of meta-heuristics in different areas of application. Another group of papers describe diverse applications of fuzzy logic, neural networks and hybrid intelligent systems in medical applications. There are also some papers that present theory and practice of neural networks in different areas of application. In addition, there are papers that present theory and practice of optimization and evolutionary algorithms in different areas of application. Finally, there are some papers describing applications of fuzzy logic, neural networks and meta-heuristics in pattern recognition problems.

Swarm Intelligence and Bio-Inspired Computation

Jonas Krause,Jelson Cordeiro,Rafael Stubs Parpinelli,Heitor Silvério Lopes
Swarm Intelligence and Bio Inspired Computation Book PDF

Author : Jonas Krause,Jelson Cordeiro,Rafael Stubs Parpinelli,Heitor Silvério Lopes
Publisher : Elsevier Inc. Chapters
Page : 450 pages
File Size : 54,6 Mb
Release : 2013-05-16
Category : Computers
ISBN : 9780128068939

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Swarm Intelligence and Bio-Inspired Computation by Jonas Krause,Jelson Cordeiro,Rafael Stubs Parpinelli,Heitor Silvério Lopes Pdf

Most swarm intelligence algorithms were devised for continuous optimization problems. However, they have been adapted for discrete optimization as well with applications in different domains. This survey aims at providing an updated review of research of swarm intelligence algorithms for discrete optimization problems, comprising combinatorial or binary. The biological inspiration that motivated the creation of each swarm algorithm is introduced, and later, the discretization and encoding methods are used to adapt each algorithm for discrete problems. Methods are compared for different classes of problems and a critical analysis is provided, pointing to future trends.

Combinatorial Optimization

Christos H. Papadimitriou,Kenneth Steiglitz
Combinatorial Optimization Book PDF

Author : Christos H. Papadimitriou,Kenneth Steiglitz
Publisher : Courier Corporation
Page : 528 pages
File Size : 42,5 Mb
Release : 2013-04-26
Category : Mathematics
ISBN : 9780486320137

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Combinatorial Optimization by Christos H. Papadimitriou,Kenneth Steiglitz Pdf

This graduate-level text considers the Soviet ellipsoid algorithm for linear programming; efficient algorithms for network flow, matching, spanning trees, and matroids; the theory of NP-complete problems; local search heuristics for NP-complete problems, more. 1982 edition.

Nature-Inspired Optimization Algorithms

Vasuki A
Nature Inspired Optimization Algorithms Book PDF

Author : Vasuki A
Publisher : CRC Press
Page : 260 pages
File Size : 52,5 Mb
Release : 2020-05-31
Category : Computers
ISBN : 9781000076608

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Nature-Inspired Optimization Algorithms by Vasuki A Pdf

Nature-Inspired Optimization Algorithms, a comprehensive work on the most popular optimization algorithms based on nature, starts with an overview of optimization going from the classical to the latest swarm intelligence algorithm. Nature has a rich abundance of flora and fauna that inspired the development of optimization techniques, providing us with simple solutions to complex problems in an effective and adaptive manner. The study of the intelligent survival strategies of animals, birds, and insects in a hostile and ever-changing environment has led to the development of techniques emulating their behavior. This book is a lucid description of fifteen important existing optimization algorithms based on swarm intelligence and superior in performance. It is a valuable resource for engineers, researchers, faculty, and students who are devising optimum solutions to any type of problem ranging from computer science to economics and covering diverse areas that require maximizing output and minimizing resources. This is the crux of all optimization algorithms. Features: Detailed description of the algorithms along with pseudocode and flowchart Easy translation to program code that is also readily available in Mathworks website for some of the algorithms Simple examples demonstrating the optimization strategies are provided to enhance understanding Standard applications and benchmark datasets for testing and validating the algorithms are included This book is a reference for undergraduate and post-graduate students. It will be useful to faculty members teaching optimization. It is also a comprehensive guide for researchers who are looking for optimizing resources in attaining the best solution to a problem. The nature-inspired optimization algorithms are unconventional, and this makes them more efficient than their traditional counterparts.

Nature-Inspired Optimization Algorithms

Xin-She Yang
Nature Inspired Optimization Algorithms Book PDF

Author : Xin-She Yang
Publisher : Elsevier
Page : 300 pages
File Size : 40,9 Mb
Release : 2014-02-17
Category : Computers
ISBN : 9780124167452

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Nature-Inspired Optimization Algorithms by Xin-She Yang Pdf

Nature-Inspired Optimization Algorithms provides a systematic introduction to all major nature-inspired algorithms for optimization. The book's unified approach, balancing algorithm introduction, theoretical background and practical implementation, complements extensive literature with well-chosen case studies to illustrate how these algorithms work. Topics include particle swarm optimization, ant and bee algorithms, simulated annealing, cuckoo search, firefly algorithm, bat algorithm, flower algorithm, harmony search, algorithm analysis, constraint handling, hybrid methods, parameter tuning and control, as well as multi-objective optimization. This book can serve as an introductory book for graduates, doctoral students and lecturers in computer science, engineering and natural sciences. It can also serve a source of inspiration for new applications. Researchers and engineers as well as experienced experts will also find it a handy reference. Discusses and summarizes the latest developments in nature-inspired algorithms with comprehensive, timely literature Provides a theoretical understanding as well as practical implementation hints Provides a step-by-step introduction to each algorithm

Handbook of Nature-Inspired Optimization Algorithms: The State of the Art

Ali Mohamed,Diego Oliva,Ponnuthurai Nagaratnam Suganthan
Handbook of Nature Inspired Optimization Algorithms The State of the Art Book PDF

Author : Ali Mohamed,Diego Oliva,Ponnuthurai Nagaratnam Suganthan
Publisher : Springer Nature
Page : 282 pages
File Size : 52,5 Mb
Release : 2022-08-31
Category : Technology & Engineering
ISBN : 9783031075124

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Handbook of Nature-Inspired Optimization Algorithms: The State of the Art by Ali Mohamed,Diego Oliva,Ponnuthurai Nagaratnam Suganthan Pdf

The introduction of nature-inspired optimization algorithms (NIOAs), over the past three decades, helped solve nonlinear, high-dimensional, and complex computational optimization problems. NIOAs have been originally developed to overcome the challenges of global optimization problems such as nonlinearity, non-convexity, non-continuity, non-differentiability, and/or multimodality which traditional numerical optimization techniques had difficulties solving. The main objective for this book is to make available a self-contained collection of modern research addressing the general bound-constrained optimization problems in many real-world applications using nature-inspired optimization algorithms. This book is suitable for a graduate class on optimization, but will also be useful for interested senior students working on their research projects.