Biogeography Based Optimization Algorithms And Applications

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Biogeography-Based Optimization: Algorithms and Applications

Yujun Zheng,Xueqin Lu,Minxia Zhang,Shengyong Chen
Biogeography Based Optimization Algorithms and Applications Book PDF

Author : Yujun Zheng,Xueqin Lu,Minxia Zhang,Shengyong Chen
Publisher : Springer
Page : 221 pages
File Size : 42,7 Mb
Release : 2018-09-14
Category : Technology & Engineering
ISBN : 9789811325861

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Biogeography-Based Optimization: Algorithms and Applications by Yujun Zheng,Xueqin Lu,Minxia Zhang,Shengyong Chen Pdf

This book introduces readers to the background, general framework, main operators, and other basic characteristics of biogeography-based optimization (BBO), which is an emerging branch of bio-inspired computation. In particular, the book presents the authors’ recent work on improved variants of BBO, hybridization of BBO with other algorithms, and the application of BBO to a variety of domains including transportation, image processing, and neural network learning. The content will help to advance research into and application of not only BBO but also the whole field of bio-inspired computation. The algorithms and applications are organized in a step-by-step manner and clearly described with the help of pseudo-codes and flowcharts. The readers will learn not only the basic concepts of BBO but also how to apply and adapt the algorithms to the engineering optimization problems they actually encounter.

Evolutionary Computation with Biogeography-based Optimization

Haiping Ma,Dan Simon
Evolutionary Computation with Biogeography based Optimization Book PDF

Author : Haiping Ma,Dan Simon
Publisher : John Wiley & Sons
Page : 356 pages
File Size : 42,8 Mb
Release : 2017-02-06
Category : Computers
ISBN : 9781848218079

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Evolutionary Computation with Biogeography-based Optimization by Haiping Ma,Dan Simon Pdf

Evolutionary computation algorithms are employed to minimize functions with large number of variables. Biogeography-based optimization (BBO) is an optimization algorithm that is based on the science of biogeography, which researches the migration patterns of species. These migration paradigms provide the main logic behind BBO. Due to the cross-disciplinary nature of the optimization problems, there is a need to develop multiple approaches to tackle them and to study the theoretical reasoning behind their performance. This book explains the mathematical model of BBO algorithm and its variants created to cope with continuous domain problems (with and without constraints) and combinatorial problems.

Nature-Inspired Algorithms and Applications

S. Balamurugan,Anupriya Jain,Sachin Sharma,Dinesh Goyal,Sonia Duggal,Seema Sharma
Nature Inspired Algorithms and Applications Book PDF

Author : S. Balamurugan,Anupriya Jain,Sachin Sharma,Dinesh Goyal,Sonia Duggal,Seema Sharma
Publisher : John Wiley & Sons
Page : 388 pages
File Size : 55,8 Mb
Release : 2021-12-14
Category : Computers
ISBN : 9781119681748

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Nature-Inspired Algorithms and Applications by S. Balamurugan,Anupriya Jain,Sachin Sharma,Dinesh Goyal,Sonia Duggal,Seema Sharma Pdf

NATURE-INSPIRED ALGORITHMS AND APPLICATIONS The book’s unified approach of balancing algorithm introduction, theoretical background and practical implementation, complements extensive literature with well-chosen case studies to illustrate how these algorithms work. Inspired by the world around them, researchers are gathering information that can be developed for use in areas where certain practical applications of nature-inspired computation and machine learning can be applied. This book is designed to enhance the reader’s understanding of this process by portraying certain practical applications of nature-inspired algorithms (NIAs) specifically designed to solve complex real-world problems in data analytics and pattern recognition by means of domain-specific solutions. Since various NIAs and their multidisciplinary applications in the mechanical engineering and electrical engineering sectors; and in machine learning, image processing, data mining, and wireless networks are dealt with in detail in this book, it can act as a handy reference guide. Among the subjects of the 12 chapters are: A novel method based on TRIZ to map real-world problems to nature problems Applications of cuckoo search algorithm for optimization problems Performance analysis of nature-inspired algorithms in breast cancer diagnosis Nature-inspired computation in data mining Hybrid bat-genetic algorithm–based novel optimal wavelet filter for compression of image data Efficiency of finding best solutions through ant colony optimization techniques Applications of hybridized algorithms and novel algorithms in the field of machine learning. Audience: Researchers and graduate students in mechanical engineering, electrical engineering, machine learning, image processing, data mining, and wireless networks will find this book very useful.

Evolutionary Optimization Algorithms

Dan Simon
Evolutionary Optimization Algorithms Book PDF

Author : Dan Simon
Publisher : John Wiley & Sons
Page : 776 pages
File Size : 52,6 Mb
Release : 2013-06-13
Category : Mathematics
ISBN : 9781118659502

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Evolutionary Optimization Algorithms by Dan Simon Pdf

A clear and lucid bottom-up approach to the basic principles of evolutionary algorithms Evolutionary algorithms (EAs) are a type of artificial intelligence. EAs are motivated by optimization processes that we observe in nature, such as natural selection, species migration, bird swarms, human culture, and ant colonies. This book discusses the theory, history, mathematics, and programming of evolutionary optimization algorithms. Featured algorithms include genetic algorithms, genetic programming, ant colony optimization, particle swarm optimization, differential evolution, biogeography-based optimization, and many others. Evolutionary Optimization Algorithms: Provides a straightforward, bottom-up approach that assists the reader in obtaining a clear but theoretically rigorous understanding of evolutionary algorithms, with an emphasis on implementation Gives a careful treatment of recently developed EAs including opposition-based learning, artificial fish swarms, bacterial foraging, and many others and discusses their similarities and differences from more well-established EAs Includes chapter-end problems plus a solutions manual available online for instructors Offers simple examples that provide the reader with an intuitive understanding of the theory Features source code for the examples available on the author's website Provides advanced mathematical techniques for analyzing EAs, including Markov modeling and dynamic system modeling Evolutionary Optimization Algorithms: Biologically Inspired and Population-Based Approaches to Computer Intelligence is an ideal text for advanced undergraduate students, graduate students, and professionals involved in engineering and computer science.

Nature-Inspired Methods for Metaheuristics Optimization

Fouad Bennis,Rajib Kumar Bhattacharjya
Nature Inspired Methods for Metaheuristics Optimization Book PDF

Author : Fouad Bennis,Rajib Kumar Bhattacharjya
Publisher : Springer Nature
Page : 503 pages
File Size : 55,6 Mb
Release : 2020-01-17
Category : Business & Economics
ISBN : 9783030264581

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Nature-Inspired Methods for Metaheuristics Optimization by Fouad Bennis,Rajib Kumar Bhattacharjya Pdf

This book gathers together a set of chapters covering recent development in optimization methods that are inspired by nature. The first group of chapters describes in detail different meta-heuristic algorithms, and shows their applicability using some test or real-world problems. The second part of the book is especially focused on advanced applications and case studies. They span different engineering fields, including mechanical, electrical and civil engineering, and earth/environmental science, and covers topics such as robotics, water management, process optimization, among others. The book covers both basic concepts and advanced issues, offering a timely introduction to nature-inspired optimization method for newcomers and students, and a source of inspiration as well as important practical insights to engineers and researchers.

Evolutionary Data Clustering: Algorithms and Applications

Ibrahim Aljarah,Hossam Faris,Seyedali Mirjalili
Evolutionary Data Clustering Algorithms and Applications Book PDF

Author : Ibrahim Aljarah,Hossam Faris,Seyedali Mirjalili
Publisher : Springer Nature
Page : 248 pages
File Size : 48,9 Mb
Release : 2021-02-20
Category : Technology & Engineering
ISBN : 9789813341913

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Evolutionary Data Clustering: Algorithms and Applications by Ibrahim Aljarah,Hossam Faris,Seyedali Mirjalili Pdf

This book provides an in-depth analysis of the current evolutionary clustering techniques. It discusses the most highly regarded methods for data clustering. The book provides literature reviews about single objective and multi-objective evolutionary clustering algorithms. In addition, the book provides a comprehensive review of the fitness functions and evaluation measures that are used in most of evolutionary clustering algorithms. Furthermore, it provides a conceptual analysis including definition, validation and quality measures, applications, and implementations for data clustering using classical and modern nature-inspired techniques. It features a range of proven and recent nature-inspired algorithms used to data clustering, including particle swarm optimization, ant colony optimization, grey wolf optimizer, salp swarm algorithm, multi-verse optimizer, Harris hawks optimization, beta-hill climbing optimization. The book also covers applications of evolutionary data clustering in diverse fields such as image segmentation, medical applications, and pavement infrastructure asset management.

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 : 43,7 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.

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 : 310 pages
File Size : 45,8 Mb
Release : 2017-12-15
Category : Computers
ISBN : 9781351260879

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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.

AI and Machine Learning Paradigms for Health Monitoring System

Hasmat Malik,Nuzhat Fatema,Jafar A. Alzubi
AI and Machine Learning Paradigms for Health Monitoring System Book PDF

Author : Hasmat Malik,Nuzhat Fatema,Jafar A. Alzubi
Publisher : Springer Nature
Page : 513 pages
File Size : 54,6 Mb
Release : 2021-02-14
Category : Technology & Engineering
ISBN : 9789813344129

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AI and Machine Learning Paradigms for Health Monitoring System by Hasmat Malik,Nuzhat Fatema,Jafar A. Alzubi Pdf

This book embodies principles and applications of advanced soft computing approaches in engineering, healthcare and allied domains directed toward the researchers aspiring to learn and apply intelligent data analytics techniques. The first part covers AI, machine learning and data analytics tools and techniques and their applications to the class of several hospital and health real-life problems. In the later part, the applications of AI, ML and data analytics shall be covered over the wide variety of applications in hospital, health, engineering and/or applied sciences such as the clinical services, medical image analysis, management support, quality analysis, bioinformatics, device analysis and operations. The book presents knowledge of experts in the form of chapters with the objective to introduce the theme of intelligent data analytics and discusses associated theoretical applications. At last, it presents simulation codes for the problems included in the book for better understanding for beginners.

Design and Applications of Nature Inspired Optimization

Dipti Singh,Vanita Garg,Kusum Deep
Design and Applications of Nature Inspired Optimization Book PDF

Author : Dipti Singh,Vanita Garg,Kusum Deep
Publisher : Springer Nature
Page : 211 pages
File Size : 43,8 Mb
Release : 2023-01-02
Category : Technology & Engineering
ISBN : 9783031179297

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Design and Applications of Nature Inspired Optimization by Dipti Singh,Vanita Garg,Kusum Deep Pdf

This book gives a detailed information of various real-life applications from various fields using nature inspired optimization techniques. These techniques are proven to be efficient and robust in many difficult problems in literature. The authors provide detailed information about real-life problems and how various nature inspired optimizations are applied to solve these problems. The authors discuss techniques such as Biogeography Based Optimization, Glow Swarm Optimization, Elephant herd Optimization Algorithm, Cuckoo Search Algorithm, Ant Colony Optimization, and Grey Wolf Optimization etc. These algorithms are applied to a wide range of problems from the field of engineering, finance, medicinal etc. As an important part of the Women in Science and Engineering book series, the work highlights the contribution of women leaders in nature inspired optimization, inspiring women and men, girls and boys to enter and apply themselves to the field.

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 : 53,9 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.

Computational Intelligence-based Optimization Algorithms

Babak Zolghadr-Asli
Computational Intelligence based Optimization Algorithms Book PDF

Author : Babak Zolghadr-Asli
Publisher : CRC Press
Page : 357 pages
File Size : 51,8 Mb
Release : 2023-10-11
Category : Computers
ISBN : 9781000964707

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Computational Intelligence-based Optimization Algorithms by Babak Zolghadr-Asli Pdf

Computational intelligence-based optimization methods, also known as metaheuristic optimization algorithms, are a popular topic in mathematical programming. These methods have bridged the gap between various approaches and created a new school of thought to solve real-world optimization problems. In this book, we have selected some of the most effective and renowned algorithms in the literature. These algorithms are not only practical but also provide thought-provoking theoretical ideas to help readers understand how they solve optimization problems. Each chapter includes a brief review of the algorithm’s background and the fields it has been used in. Additionally, Python code is provided for all algorithms at the end of each chapter, making this book a valuable resource for beginner and intermediate programmers looking to understand these algorithms.

Handbook of Research on Emergent Applications of Optimization Algorithms

Vasant, Pandian,Alparslan-Gok, Sirma Zeynep,Weber, Gerhard-Wilhelm
Handbook of Research on Emergent Applications of Optimization Algorithms Book PDF

Author : Vasant, Pandian,Alparslan-Gok, Sirma Zeynep,Weber, Gerhard-Wilhelm
Publisher : IGI Global
Page : 812 pages
File Size : 41,7 Mb
Release : 2017-10-31
Category : Computers
ISBN : 9781522529910

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Handbook of Research on Emergent Applications of Optimization Algorithms by Vasant, Pandian,Alparslan-Gok, Sirma Zeynep,Weber, Gerhard-Wilhelm Pdf

Modern optimization approaches have attracted an increasing number of scientists, decision makers, and researchers. As new issues in this field emerge, different optimization methodologies must be developed and implemented. The Handbook of Research on Emergent Applications of Optimization Algorithms is an authoritative reference source for the latest scholarly research on modern optimization techniques for solving complex problems of global optimization and their applications in economics and engineering. Featuring coverage on a broad range of topics and perspectives such as hybrid systems, non-cooperative games, and cryptography, this publication is ideally designed for students, researchers, and engineers interested in emerging developments in optimization algorithms.

Metaheuristic and Evolutionary Computation: Algorithms and Applications

Hasmat Malik,Atif Iqbal,Puneet Joshi,Sanjay Agrawal,Farhad Ilahi Bakhsh
Metaheuristic and Evolutionary Computation Algorithms and Applications Book PDF

Author : Hasmat Malik,Atif Iqbal,Puneet Joshi,Sanjay Agrawal,Farhad Ilahi Bakhsh
Publisher : Springer Nature
Page : 830 pages
File Size : 47,7 Mb
Release : 2020-10-08
Category : Technology & Engineering
ISBN : 9789811575716

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Metaheuristic and Evolutionary Computation: Algorithms and Applications by Hasmat Malik,Atif Iqbal,Puneet Joshi,Sanjay Agrawal,Farhad Ilahi Bakhsh Pdf

This book addresses the principles and applications of metaheuristic approaches in engineering and related fields. The first part covers metaheuristics tools and techniques such as ant colony optimization and Tabu search, and their applications to several classes of optimization problems. In turn, the book’s second part focuses on a wide variety of metaheuristics applications in engineering and/or the applied sciences, e.g. in smart grids and renewable energy. In addition, the simulation codes for the problems discussed are included in an appendix for ready reference. Intended for researchers aspiring to learn and apply metaheuristic techniques, and gathering contributions by prominent experts in the field, the book offers readers an essential introduction to metaheuristics, its theoretical aspects and applications.

Intelligent Computing Theories and Application

De-Shuang Huang,Kang-Hyun Jo
Intelligent Computing Theories and Application Book PDF

Author : De-Shuang Huang,Kang-Hyun Jo
Publisher : Springer
Page : 924 pages
File Size : 44,6 Mb
Release : 2016-07-11
Category : Computers
ISBN : 9783319422947

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Intelligent Computing Theories and Application by De-Shuang Huang,Kang-Hyun Jo Pdf

This two-volume set LNCS 9771 and LNCS 9772 constitutes - in conjunction with the volume LNAI 9773 - the refereed proceedings of the 12th International Conference on Intelligent Computing, ICIC 2016, held in Lanzhou, China, in August 2016. The 221 full papers and 15 short papers of the three proceedings volumes were carefully reviewed and selected from 639 submissions. The papers are organized in topical sections such as signal processing and image processing; information security, knowledge discovery, and data mining; systems biology and intelligent computing in computational biology; intelligent computing in scheduling; information security; advances in swarm intelligence: algorithms and applications; machine learning and data analysis for medical and engineering applications; evolutionary computation and learning; independent component analysis; compressed sensing, sparse coding; social computing; neural networks; nature inspired computing and optimization; genetic algorithms; signal processing; pattern recognition; biometrics recognition; image processing; information security; virtual reality and human-computer interaction; healthcare informatics theory and methods; artificial bee colony algorithms; differential evolution; memetic algorithms; swarm intelligence and optimization; soft computing; protein structure and function prediction; advances in swarm intelligence: algorithms and applications; optimization, neural network, and signal processing; biomedical informatics and image processing; machine learning; knowledge discovery and natural language processing; nature inspired computing and optimization; intelligent control and automation; intelligent data analysis and prediction; computer vision; knowledge representation and expert system; bioinformatics.