Recent Advances In Harmony Search Algorithm

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Recent Advances in Harmony Search Algorithm

Zong Woo Geem
Recent Advances in Harmony Search Algorithm Book PDF

Author : Zong Woo Geem
Publisher : Springer Science & Business Media
Page : 179 pages
File Size : 49,7 Mb
Release : 2010-04-27
Category : Computers
ISBN : 9783642043161

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Recent Advances in Harmony Search Algorithm by Zong Woo Geem Pdf

Nowadays, music-inspired phenomenon-mimicking harmony search algorithm is fast growing with many applications. One of key success factors of the algorithm is the employment of a novel stochastic derivative which can be used even for discrete variables. Instead of traditional calculus-based gradient, the algorithm utilizes musician’s experience as a derivative in searching for an optimal solution. This can be a new paradigm and main reason in the successes of various applications. The goal of this book is to introduce major advances of the harmony search algorithm in recent years. The book contains 14 chapters with the following subjects: State-of-the-art in the harmony search algorithm structure; robotics (robot terrain and manipulator trajectory); visual tracking; web text data mining; power flow planning; fuzzy control system; hybridization (with Taguchi method or SQP method); groundwater management; irrigation ; logistics; timetabling; and bioinformatics (RNA structure prediction). This book collects the above-mentioned theory and applications, which are dispersed in various technical publications, so that readers can have a good grasp of current status of the harmony search algorithm and foster new breakthroughs in their fields using the algorithm.

Advances in Harmony Search, Soft Computing and Applications

Joong Hoon Kim,Zong Woo Geem,Donghwi Jung,Do Guen Yoo,Anupam Yadav
Advances in Harmony Search Soft Computing and Applications Book PDF

Author : Joong Hoon Kim,Zong Woo Geem,Donghwi Jung,Do Guen Yoo,Anupam Yadav
Publisher : Springer Nature
Page : 254 pages
File Size : 43,8 Mb
Release : 2019-09-20
Category : Technology & Engineering
ISBN : 9783030319670

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Advances in Harmony Search, Soft Computing and Applications by Joong Hoon Kim,Zong Woo Geem,Donghwi Jung,Do Guen Yoo,Anupam Yadav Pdf

This book discusses various aspects of real-world applications of optimization algorithms, presenting insights from the 5th International Conference on Harmony Search, Soft Computing and Applications, held at Kunming, China on July 20–22, 2019. The book focuses on the recent advances in soft computing techniques such as harmony search, PSO and DE and their application to solve engineering problems. Presenting research on various real-world engineering problems concerning crowd evacuation strategies, adaptive learning systems, economic impact analysis, cyber-attack detection, urban drainage systems, water management models, feature selection and inventory systems, it is a valuable resource for researchers wanting a state-of-the-art overview of the latest advances in soft computing and related areas.

Recent Advances in Harmony Search Algorithm

Zong Woo Geem
Recent Advances in Harmony Search Algorithm Book PDF

Author : Zong Woo Geem
Publisher : Springer
Page : 175 pages
File Size : 43,7 Mb
Release : 2010-01-12
Category : Computers
ISBN : 9783642043178

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Recent Advances in Harmony Search Algorithm by Zong Woo Geem Pdf

Nowadays, music-inspired phenomenon-mimicking harmony search algorithm is fast growing with many applications. One of key success factors of the algorithm is the employment of a novel stochastic derivative which can be used even for discrete variables. Instead of traditional calculus-based gradient, the algorithm utilizes musician’s experience as a derivative in searching for an optimal solution. This can be a new paradigm and main reason in the successes of various applications. The goal of this book is to introduce major advances of the harmony search algorithm in recent years. The book contains 14 chapters with the following subjects: State-of-the-art in the harmony search algorithm structure; robotics (robot terrain and manipulator trajectory); visual tracking; web text data mining; power flow planning; fuzzy control system; hybridization (with Taguchi method or SQP method); groundwater management; irrigation ; logistics; timetabling; and bioinformatics (RNA structure prediction). This book collects the above-mentioned theory and applications, which are dispersed in various technical publications, so that readers can have a good grasp of current status of the harmony search algorithm and foster new breakthroughs in their fields using the algorithm.

Harmony Search Algorithm

Joong Hoon Kim,Zong Woo Geem
Harmony Search Algorithm Book PDF

Author : Joong Hoon Kim,Zong Woo Geem
Publisher : Springer
Page : 470 pages
File Size : 42,8 Mb
Release : 2015-08-08
Category : Computers
ISBN : 9783662479261

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Harmony Search Algorithm by Joong Hoon Kim,Zong Woo Geem Pdf

The Harmony Search Algorithm (HSA) is one of the most well-known techniques in the field of soft computing, an important paradigm in the science and engineering community. This volume, the proceedings of the 2nd International Conference on Harmony Search Algorithm 2015 (ICHSA 2015), brings together contributions describing the latest developments in the field of soft computing with a special focus on HSA techniques. It includes coverage of new methods that have potentially immense application in various fields. Contributed articles cover aspects of the following topics related to the Harmony Search Algorithm: analytical studies; improved, hybrid and multi-objective variants; parameter tuning; and large-scale applications. The book also contains papers discussing recent advances on the following topics: genetic algorithms; evolutionary strategies; the firefly algorithm and cuckoo search; particle swarm optimization and ant colony optimization; simulated annealing; and local search techniques. This book offers a valuable snapshot of the current status of the Harmony Search Algorithm and related techniques, and will be a useful reference for practising researchers and advanced students in computer science and engineering.

Recent Advances on Soft Computing and Data Mining

Tutut Herawan,Rozaida Ghazali,Mustafa Mat Deris
Recent Advances on Soft Computing and Data Mining Book PDF

Author : Tutut Herawan,Rozaida Ghazali,Mustafa Mat Deris
Publisher : Springer
Page : 697 pages
File Size : 51,7 Mb
Release : 2014-05-29
Category : Technology & Engineering
ISBN : 9783319076928

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Recent Advances on Soft Computing and Data Mining by Tutut Herawan,Rozaida Ghazali,Mustafa Mat Deris Pdf

This book constitutes the refereed proceedings of the First International Conference on Soft Computing and Data Mining, SCDM 2014, held in Universiti Tun Hussein Onn Malaysia, in June 16th-18th, 2014. The 65 revised full papers presented in this book were carefully reviewed and selected from 145 submissions, and organized into two main topical sections; Data Mining and Soft Computing. The goal of this book is to provide both theoretical concepts and, especially, practical techniques on these exciting fields of soft computing and data mining, ready to be applied in real-world applications. The exchanges of views pertaining future research directions to be taken in this field and the resultant dissemination of the latest research findings makes this work of immense value to all those having an interest in the topics covered.

Recent Advances in Hybrid Metaheuristics for Data Clustering

Sourav De,Sandip Dey,Siddhartha Bhattacharyya
Recent Advances in Hybrid Metaheuristics for Data Clustering Book PDF

Author : Sourav De,Sandip Dey,Siddhartha Bhattacharyya
Publisher : John Wiley & Sons
Page : 196 pages
File Size : 40,6 Mb
Release : 2020-06-02
Category : Computers
ISBN : 9781119551607

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Recent Advances in Hybrid Metaheuristics for Data Clustering by Sourav De,Sandip Dey,Siddhartha Bhattacharyya Pdf

An authoritative guide to an in-depth analysis of various state-of-the-art data clustering approaches using a range of computational intelligence techniques Recent Advances in Hybrid Metaheuristics for Data Clustering offers a guide to the fundamentals of various metaheuristics and their application to data clustering. Metaheuristics are designed to tackle complex clustering problems where classical clustering algorithms have failed to be either effective or efficient. The authors noted experts on the topic provide a text that can aid in the design and development of hybrid metaheuristics to be applied to data clustering. The book includes performance analysis of the hybrid metaheuristics in relationship to their conventional counterparts. In addition to providing a review of data clustering, the authors include in-depth analysis of different optimization algorithms. The text offers a step-by-step guide in the build-up of hybrid metaheuristics and to enhance comprehension. In addition, the book contains a range of real-life case studies and their applications. This important text: Includes performance analysis of the hybrid metaheuristics as related to their conventional counterparts Offers an in-depth analysis of a range of optimization algorithms Highlights a review of data clustering Contains a detailed overview of different standard metaheuristics in current use Presents a step-by-step guide to the build-up of hybrid metaheuristics Offers real-life case studies and applications Written for researchers, students and academics in computer science, mathematics, and engineering, Recent Advances in Hybrid Metaheuristics for Data Clustering provides a text that explores the current data clustering approaches using a range of computational intelligence techniques.

Modeling, Analysis, and Applications in Metaheuristic Computing: Advancements and Trends

Yin, Peng-Yeng
Modeling Analysis and Applications in Metaheuristic Computing Advancements and Trends Book PDF

Author : Yin, Peng-Yeng
Publisher : IGI Global
Page : 446 pages
File Size : 45,9 Mb
Release : 2012-03-31
Category : Computers
ISBN : 9781466602717

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Modeling, Analysis, and Applications in Metaheuristic Computing: Advancements and Trends by Yin, Peng-Yeng Pdf

"This book is a collection of the latest developments, models, and applications within the transdisciplinary fields related to metaheuristic computing, providing readers with insight into a wide range of topics such as genetic algorithms, differential evolution, and ant colony optimization"--Provided by publisher.

Recent Advances in Swarm Intelligence and Evolutionary Computation

Xin-She Yang
Recent Advances in Swarm Intelligence and Evolutionary Computation Book PDF

Author : Xin-She Yang
Publisher : Springer
Page : 295 pages
File Size : 49,8 Mb
Release : 2014-12-27
Category : Technology & Engineering
ISBN : 9783319138268

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Recent Advances in Swarm Intelligence and Evolutionary Computation by Xin-She Yang Pdf

This timely review volume summarizes the state-of-the-art developments in nature-inspired algorithms and applications with the emphasis on swarm intelligence and bio-inspired computation. Topics include the analysis and overview of swarm intelligence and evolutionary computation, hybrid metaheuristic algorithms, bat algorithm, discrete cuckoo search, firefly algorithm, particle swarm optimization, and harmony search as well as convergent hybridization. Application case studies have focused on the dehydration of fruits and vegetables by the firefly algorithm and goal programming, feature selection by the binary flower pollination algorithm, job shop scheduling, single row facility layout optimization, training of feed-forward neural networks, damage and stiffness identification, synthesis of cross-ambiguity functions by the bat algorithm, web document clustering, truss analysis, water distribution networks, sustainable building designs and others. As a timely review, this book can serve as an ideal reference for graduates, lecturers, engineers and researchers in computer science, evolutionary computing, artificial intelligence, machine learning, computational intelligence, data mining, engineering optimization and designs.

Music-Inspired Harmony Search Algorithm

Zong Woo Geem
Music Inspired Harmony Search Algorithm Book PDF

Author : Zong Woo Geem
Publisher : Springer
Page : 206 pages
File Size : 44,8 Mb
Release : 2009-02-19
Category : Mathematics
ISBN : 9783642001857

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Music-Inspired Harmony Search Algorithm by Zong Woo Geem Pdf

Calculus has been used in solving many scientific and engineering problems. For optimization problems, however, the differential calculus technique sometimes has a drawback when the objective function is step-wise, discontinuous, or multi-modal, or when decision variables are discrete rather than continuous. Thus, researchers have recently turned their interests into metaheuristic algorithms that have been inspired by natural phenomena such as evolution, animal behavior, or metallic annealing. This book especially focuses on a music-inspired metaheuristic algorithm, harmony search. Interestingly, there exists an analogy between music and optimization: each musical instrument corresponds to each decision variable; musical note corresponds to variable value; and harmony corresponds to solution vector. Just like musicians in Jazz improvisation play notes randomly or based on experiences in order to find fantastic harmony, variables in the harmony search algorithm have random values or previously-memorized good values in order to find optimal solution.

Nature-Inspired Computing

Nazmul H. Siddique,Hojjat Adeli
Nature Inspired Computing Book PDF

Author : Nazmul H. Siddique,Hojjat Adeli
Publisher : CRC Press
Page : 596 pages
File Size : 46,9 Mb
Release : 2017-05-19
Category : Computers
ISBN : 9781482244830

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Nature-Inspired Computing by Nazmul H. Siddique,Hojjat Adeli Pdf

Nature-Inspired Computing: Physics and Chemistry-Based Algorithms provides a comprehensive introduction to the methodologies and algorithms in nature-inspired computing, with an emphasis on applications to real-life engineering problems. The research interest for Nature-inspired Computing has grown considerably exploring different phenomena observed in nature and basic principles of physics, chemistry, and biology. The discipline has reached a mature stage and the field has been well-established. This endeavour is another attempt at investigation into various computational schemes inspired from nature, which are presented in this book with the development of a suitable framework and industrial applications. Designed for senior undergraduates, postgraduates, research students, and professionals, the book is written at a comprehensible level for students who have some basic knowledge of calculus and differential equations, and some exposure to optimization theory. Due to the focus on search and optimization, the book is also appropriate for electrical, control, civil, industrial and manufacturing engineering, business, and economics students, as well as those in computer and information sciences. With the mathematical and programming references and applications in each chapter, the book is self-contained, and can also serve as a reference for researchers and scientists in the fields of system science, natural computing, and optimization.

Search and Optimization by Metaheuristics

Ke-Lin Du,M. N. S. Swamy
Search and Optimization by Metaheuristics Book PDF

Author : Ke-Lin Du,M. N. S. Swamy
Publisher : Birkhäuser
Page : 434 pages
File Size : 42,5 Mb
Release : 2016-07-20
Category : Computers
ISBN : 9783319411927

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Search and Optimization by Metaheuristics by Ke-Lin Du,M. N. S. Swamy Pdf

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.

Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012)

Jagdish C. Bansal,Pramod Singh,Kusum Deep,Millie Pant,Atulya K. Nagar
Proceedings of Seventh International Conference on Bio Inspired Computing Theories and Applications BIC TA 2012 Book PDF

Author : Jagdish C. Bansal,Pramod Singh,Kusum Deep,Millie Pant,Atulya K. Nagar
Publisher : Springer Science & Business Media
Page : 556 pages
File Size : 53,6 Mb
Release : 2012-12-04
Category : Technology & Engineering
ISBN : 9788132210382

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Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012) by Jagdish C. Bansal,Pramod Singh,Kusum Deep,Millie Pant,Atulya K. Nagar Pdf

The book is a collection of high quality peer reviewed research papers presented in Seventh International Conference on Bio-Inspired Computing (BIC-TA 2012) held at ABV-IIITM Gwalior, India. These research papers provide the latest developments in the broad area of "Computational Intelligence". The book discusses wide variety of industrial, engineering and scientific applications of nature/bio-inspired computing and presents invited papers from the inventors/originators of novel computational techniques.

Innovative Computational Intelligence: A Rough Guide to 134 Clever Algorithms

Bo Xing,Wen-Jing Gao
Innovative Computational Intelligence A Rough Guide to 134 Clever Algorithms Book PDF

Author : Bo Xing,Wen-Jing Gao
Publisher : Springer Science & Business Media
Page : 451 pages
File Size : 54,5 Mb
Release : 2013-12-13
Category : Technology & Engineering
ISBN : 9783319034041

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Innovative Computational Intelligence: A Rough Guide to 134 Clever Algorithms by Bo Xing,Wen-Jing Gao Pdf

The first notable feature of this book is its innovation: Computational intelligence (CI), a fast evolving area, is currently attracting lots of researchers’ attention in dealing with many complex problems. At present, there are quite a lot competing books existing in the market. Nevertheless, the present book is markedly different from the existing books in that it presents new paradigms of CI that have rarely mentioned before, as opposed to the traditional CI techniques or methodologies employed in other books. During the past decade, a number of new CI algorithms are proposed. Unfortunately, they spread in a number of unrelated publishing directions which may hamper the use of such published resources. These provide us with motivation to analyze the existing research for categorizing and synthesizing it in a meaningful manner. The mission of this book is really important since those algorithms are going to be a new revolution in computer science. We hope it will stimulate the readers to make novel contributions or even start a new paradigm based on nature phenomena. Although structured as a textbook, the book's straightforward, self-contained style will also appeal to a wide audience of professionals, researchers and independent learners. We believe that the book will be instrumental in initiating an integrated approach to complex problems by allowing cross-fertilization of design principles from different design philosophies. The second feature of this book is its comprehensiveness: Through an extensive literature research, there are 134 innovative CI algorithms covered in this book.

An Introduction to Harmony Search Optimization Method

Xiaolei Wang,Xiao-Zhi Gao,Kai Zenger
An Introduction to Harmony Search Optimization Method Book PDF

Author : Xiaolei Wang,Xiao-Zhi Gao,Kai Zenger
Publisher : Springer
Page : 93 pages
File Size : 45,7 Mb
Release : 2014-07-22
Category : Technology & Engineering
ISBN : 9783319083568

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An Introduction to Harmony Search Optimization Method by Xiaolei Wang,Xiao-Zhi Gao,Kai Zenger Pdf

This brief provides a detailed introduction, discussion and bibliographic review of the nature1-inspired optimization algorithm called Harmony Search. It uses a large number of simulation results to demonstrate the advantages of Harmony Search and its variants and also their drawbacks. The authors show how weaknesses can be amended by hybridization with other optimization methods. The Harmony Search Method with Applications will be of value to researchers in computational intelligence in demonstrating the state of the art of research on an algorithm of current interest. It also helps researchers and practitioners of electrical and computer engineering more generally in acquainting themselves with this method of vector-based optimization.

Clever Algorithms

Jason Brownlee
Clever Algorithms Book PDF

Author : Jason Brownlee
Publisher : Jason Brownlee
Page : 437 pages
File Size : 50,9 Mb
Release : 2011
Category : Computers
ISBN : 9781446785065

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Clever Algorithms by Jason Brownlee Pdf

This book provides a handbook of algorithmic recipes from the fields of Metaheuristics, Biologically Inspired Computation and Computational Intelligence that have been described in a complete, consistent, and centralized manner. These standardized descriptions were carefully designed to be accessible, usable, and understandable. Most of the algorithms described in this book were originally inspired by biological and natural systems, such as the adaptive capabilities of genetic evolution and the acquired immune system, and the foraging behaviors of birds, bees, ants and bacteria. An encyclopedic algorithm reference, this book is intended for research scientists, engineers, students, and interested amateurs. Each algorithm description provides a working code example in the Ruby Programming Language.