How To Design Optimization Algorithms By Applying Natural Behavioral Patterns

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How to Design Optimization Algorithms by Applying Natural Behavioral Patterns

Rohollah Omidvar,Behrouz Minaei Bidgoli
How to Design Optimization Algorithms by Applying Natural Behavioral Patterns Book PDF

Author : Rohollah Omidvar,Behrouz Minaei Bidgoli
Publisher : Bentham Science Publishers
Page : 209 pages
File Size : 54,8 Mb
Release : 2021-09-28
Category : Computers
ISBN : 9789811459573

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How to Design Optimization Algorithms by Applying Natural Behavioral Patterns by Rohollah Omidvar,Behrouz Minaei Bidgoli Pdf

How to Design Optimization Algorithms by Applying Natural Behavioral Patterns is a guide book that introduces readers to optimization algorithms based on natural language processing. Readers will learn about the basic concept of optimization, optimization algorithm fundamentals and the methods employed to formulate natural ideas and behaviors into algorithms. Readers will learn how to create their own algorithm from the information provided in the text. The book is a simple reference to students and programming enthusiasts who are interested in learning about optimization and the process of designing algorithms designed to mimic natural phenomena.

Brain Storm Optimization Algorithms

Shi Cheng,Yuhui Shi
Brain Storm Optimization Algorithms Book PDF

Author : Shi Cheng,Yuhui Shi
Publisher : Springer
Page : 299 pages
File Size : 42,9 Mb
Release : 2019-06-03
Category : Technology & Engineering
ISBN : 9783030150709

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Brain Storm Optimization Algorithms by Shi Cheng,Yuhui Shi Pdf

Brain Storm Optimization (BSO) algorithms are a new kind of swarm intelligence method, which is based on the collective behavior of human beings, i.e., on the brainstorming process. Since the introduction of BSO algorithms in 2011, many studies on them have been conducted. They not only offer an optimization method, but could also be viewed as a framework of optimization techniques. The process employed in the algorithms could be simplified as a framework with two basic operations: the converging operation and the diverging operation. A “good enough” optimum could be obtained through recursive solution divergence and convergence. The resulting optimization algorithm would naturally have the capability of both convergence and divergence. This book is primarily intended for researchers, engineers, and graduate students with an interest in BSO algorithms and their applications. The chapters cover various aspects of BSO algorithms, and collectively provide broad insights into what these algorithms have to offer. The book is ideally suited as a graduate-level textbook, whereby students may be tasked with the study of the rich variants of BSO algorithms that involves a hands-on implementation to demonstrate the utility and applicability of BSO algorithms in solving optimization problems.

Mycorrhiza Optimization Algorithm

Fevrier Valdez,Hector Carreon-Ortiz,Oscar Castillo
Mycorrhiza Optimization Algorithm Book PDF

Author : Fevrier Valdez,Hector Carreon-Ortiz,Oscar Castillo
Publisher : Springer Nature
Page : 84 pages
File Size : 47,9 Mb
Release : 2023-10-30
Category : Technology & Engineering
ISBN : 9783031473692

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Mycorrhiza Optimization Algorithm by Fevrier Valdez,Hector Carreon-Ortiz,Oscar Castillo Pdf

This book provides two new optimization algorithms to address real optimization problems. Optimization is a fundamental concept in engineering and science, and its applications are needed in many fields. From designing products and systems to developing algorithms and models, optimization plays a critical role in achieving efficient and effective solutions to complex problems. Optimization algorithms inspired by nature have proven effective in solving a wide range of problems, including those in engineering, finance, and machine learning. These algorithms are often used when traditional optimization techniques are impractical due to the size or complexity of the problem. In this book, we are presenting two new optimization algorithms inspired by plant roots and the Mycorrhiza Network. The first algorithm is called the Continuous Mycorrhiza Optimization Algorithm (CMOA), which was proposed based on the model of the Continuous Lotka-Volterra System Equations. The second algorithm is called the Discrete Mycorrhiza Optimization Algorithm (DMOA), which design based on the model of Discrete Lotka-Volterra System Equations. By mastering the proposed algorithms, the readers able to develop innovative solutions that improve efficiency, reduce costs, and improve performance in the corresponding field of work.

Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications

Serdar Carbas,Abdurrahim Toktas,Deniz Ustun
Nature Inspired Metaheuristic Algorithms for Engineering Optimization Applications Book PDF

Author : Serdar Carbas,Abdurrahim Toktas,Deniz Ustun
Publisher : Springer Nature
Page : 420 pages
File Size : 46,5 Mb
Release : 2021-03-31
Category : Technology & Engineering
ISBN : 9789813367739

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Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications by Serdar Carbas,Abdurrahim Toktas,Deniz Ustun Pdf

This book engages in an ongoing topic, such as the implementation of nature-inspired metaheuristic algorithms, with a main concentration on optimization problems in different fields of engineering optimization applications. The chapters of the book provide concise overviews of various nature-inspired metaheuristic algorithms, defining their profits in obtaining the optimal solutions of tiresome engineering design problems that cannot be efficiently resolved via conventional mathematical-based techniques. Thus, the chapters report on advanced studies on the applications of not only the traditional, but also the contemporary certain nature-inspired metaheuristic algorithms to specific engineering optimization problems with single and multi-objectives. Harmony search, artificial bee colony, teaching learning-based optimization, electrostatic discharge, grasshopper, backtracking search, and interactive search are just some of the methods exhibited and consulted step by step in application contexts. The book is a perfect guide for graduate students, researchers, academicians, and professionals willing to use metaheuristic algorithms in engineering optimization applications.

Pattern Recognition and Machine Intelligence

Bhabesh Deka,Pradipta Maji,Sushmita Mitra,Dhruba Kumar Bhattacharyya,Prabin Kumar Bora,Sankar Kumar Pal
Pattern Recognition and Machine Intelligence Book PDF

Author : Bhabesh Deka,Pradipta Maji,Sushmita Mitra,Dhruba Kumar Bhattacharyya,Prabin Kumar Bora,Sankar Kumar Pal
Publisher : Springer Nature
Page : 678 pages
File Size : 54,7 Mb
Release : 2019-11-25
Category : Computers
ISBN : 9783030348694

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Pattern Recognition and Machine Intelligence by Bhabesh Deka,Pradipta Maji,Sushmita Mitra,Dhruba Kumar Bhattacharyya,Prabin Kumar Bora,Sankar Kumar Pal Pdf

The two-volume set of LNCS 11941 and 11942 constitutes the refereed proceedings of the 8th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2019, held in Tezpur, India, in December 2019. The 131 revised full papers presented were carefully reviewed and selected from 341 submissions. They are organized in topical sections named: Pattern Recognition; Machine Learning; Deep Learning; Soft and Evolutionary Computing; Image Processing; Medical Image Processing; Bioinformatics and Biomedical Signal Processing; Information Retrieval; Remote Sensing; Signal and Video Processing; and Smart and Intelligent Sensors.

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 : 44,9 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.

Soft Computing Applications in Sensor Networks

Sankar K. Pal,Sudip Misra
Soft Computing Applications in Sensor Networks Book PDF

Author : Sankar K. Pal,Sudip Misra
Publisher : CRC Press
Page : 315 pages
File Size : 42,9 Mb
Release : 2016-10-03
Category : Computers
ISBN : 9781482298765

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Soft Computing Applications in Sensor Networks by Sankar K. Pal,Sudip Misra Pdf

This book uses tutorials and new material to describe the basic concepts of soft-computing which potentially can be used in real-life sensor network applications. It is organized in a manner that exemplifies the use of an assortment of soft-computing applications for solving different problems in sensor networking. Written by worldwide experts, the chapters provide a balanced mixture of different problems concerning channel access, routing, coverage, localization, lifetime maximization and target tracking using emerging soft-computing applications.

Handbook of Whale Optimization Algorithm

Seyedali Mirjalili
Handbook of Whale Optimization Algorithm Book PDF

Author : Seyedali Mirjalili
Publisher : Elsevier
Page : 688 pages
File Size : 44,9 Mb
Release : 2023-11-24
Category : Computers
ISBN : 9780323953641

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Handbook of Whale Optimization Algorithm by Seyedali Mirjalili Pdf

Handbook of Whale Optimization Algorithm: Variants, Hybrids, Improvements, and Applications provides the most in-depth look at an emerging meta-heuristic that has been widely used in both science and industry. Whale Optimization Algorithm has been cited more than 5000 times in Google Scholar, thus solving optimization problems using this algorithm requires addressing a number of challenges including multiple objectives, constraints, binary decision variables, large-scale search space, dynamic objective function, and noisy parameters to name a few. This handbook provides readers with in-depth analysis of this algorithm and existing methods in the literature to cope with such challenges. The authors and editors also propose several improvements, variants and hybrids of this algorithm. Several applications are also covered to demonstrate the applicability of methods in this book. Provides in-depth analysis of equations, mathematical models and mechanisms of the Whale Optimization Algorithm Proposes different variants of the Whale Optimization Algorithm to solve binary, multiobjective, noisy, dynamic and combinatorial optimization problems Demonstrates how to design, develop and test different hybrids of Whale Optimization Algorithm Introduces several application areas of the Whale Optimization Algorithm, focusing on sustainability Includes source code from applications and algorithms that is available online

Bio-Inspired Intelligence for Smart Decision-Making

Jaganathan, Ramkumar,Mehta, Shilpa,Krishan, Ram
Bio Inspired Intelligence for Smart Decision Making Book PDF

Author : Jaganathan, Ramkumar,Mehta, Shilpa,Krishan, Ram
Publisher : IGI Global
Page : 355 pages
File Size : 54,6 Mb
Release : 2024-05-14
Category : Business & Economics
ISBN : 9798369352779

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Bio-Inspired Intelligence for Smart Decision-Making by Jaganathan, Ramkumar,Mehta, Shilpa,Krishan, Ram Pdf

In today's complex and fast-paced world, decision-making is critical to problem-solving across industries and academia. However, traditional optimization techniques often need help to cope with the challenges posed by dynamic and intricate environments. This limitation hampers decision-makers' ability to tackle complex problems and seize opportunities effectively. As such, there is a pressing need for innovative approaches that can enhance decision-making processes, enabling individuals and organizations to navigate uncertainty and achieve optimal outcomes. Bio-Inspired Intelligence for Smart Decision-Making offers a compelling solution to this challenge. By exploring the intersection of bio-inspired optimization techniques and decision-making, this book presents a fresh perspective that can revolutionize decisions. The book introduces readers to powerful bio-inspired algorithms such as genetic algorithms, swarm intelligence, and evolutionary strategies through a multidisciplinary lens that encompasses computer science, artificial intelligence, optimization, and decision science. These algorithms mimic natural systems' efficiency and adaptability, offering a robust framework for researchers, graduate students, and professionals who are addressing complex decision-making problems in diverse fields.

Glowworm Swarm Optimization

Krishnanand N. Kaipa,Debasish Ghose
Glowworm Swarm Optimization Book PDF

Author : Krishnanand N. Kaipa,Debasish Ghose
Publisher : Springer
Page : 248 pages
File Size : 49,9 Mb
Release : 2017-01-10
Category : Technology & Engineering
ISBN : 9783319515953

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Glowworm Swarm Optimization by Krishnanand N. Kaipa,Debasish Ghose Pdf

This book provides a comprehensive account of the glowworm swarm optimization (GSO) algorithm, including details of the underlying ideas, theoretical foundations, algorithm development, various applications, and MATLAB programs for the basic GSO algorithm. It also discusses several research problems at different levels of sophistication that can be attempted by interested researchers. The generality of the GSO algorithm is evident in its application to diverse problems ranging from optimization to robotics. Examples include computation of multiple optima, annual crop planning, cooperative exploration, distributed search, multiple source localization, contaminant boundary mapping, wireless sensor networks, clustering, knapsack, numerical integration, solving fixed point equations, solving systems of nonlinear equations, and engineering design optimization. The book is a valuable resource for researchers as well as graduate and undergraduate students in the area of swarm intelligence and computational intelligence and working on these topics.

Nature-Inspired Design of Hybrid Intelligent Systems

Patricia Melin,Oscar Castillo,Janusz Kacprzyk
Nature Inspired Design of Hybrid Intelligent Systems Book PDF

Author : Patricia Melin,Oscar Castillo,Janusz Kacprzyk
Publisher : Springer
Page : 838 pages
File Size : 40,9 Mb
Release : 2016-12-08
Category : Technology & Engineering
ISBN : 9783319470542

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Nature-Inspired Design of Hybrid Intelligent Systems by Patricia Melin,Oscar Castillo,Janusz Kacprzyk Pdf

This book highlights recent advances in the design of hybrid intelligent systems based on nature-inspired optimization and their application in areas such as intelligent control and robotics, pattern recognition, time series prediction, and optimization of complex problems. The book is divided into seven main parts, the first of which addresses theoretical aspects of and new concepts and algorithms based on type-2 and intuitionistic fuzzy logic systems. The second part focuses on neural network theory, and explores the applications of neural networks in diverse areas, such as time series prediction and pattern recognition. The book’s third part presents enhancements to meta-heuristics based on fuzzy logic techniques and describes new nature-inspired optimization algorithms that employ fuzzy dynamic adaptation of parameters, while the fourth part presents diverse applications of nature-inspired optimization algorithms. In turn, the fifth part investigates applications of fuzzy logic in diverse areas, such as time series prediction and pattern recognition. The sixth part examines new optimization algorithms and their applications. Lastly, the seventh part is dedicated to the design and application of different hybrid intelligent systems.

Frontier Applications of Nature Inspired Computation

Mahdi Khosravy,Neeraj Gupta,Nilesh Patel,Tomonobu Senjyu
Frontier Applications of Nature Inspired Computation Book PDF

Author : Mahdi Khosravy,Neeraj Gupta,Nilesh Patel,Tomonobu Senjyu
Publisher : Springer Nature
Page : 389 pages
File Size : 46,7 Mb
Release : 2020-03-11
Category : Technology & Engineering
ISBN : 9789811521331

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Frontier Applications of Nature Inspired Computation by Mahdi Khosravy,Neeraj Gupta,Nilesh Patel,Tomonobu Senjyu Pdf

This book addresses the frontier advances in the theory and application of nature-inspired optimization techniques, including solving the quadratic assignment problem, prediction in nature-inspired dynamic optimization, the lion algorithm and its applications, optimizing the operation scheduling of microgrids, PID controllers for two-legged robots, optimizing crane operating times, planning electrical energy distribution systems, automatic design and evaluation of classification pipelines, and optimizing wind-energy power generation plants. The book also presents a variety of nature-inspired methods and illustrates methods of adapting these to said applications. Nature-inspired computation, developed by mimicking natural phenomena, makes a significant contribution toward the solution of non-convex optimization problems that normal mathematical optimizers fail to solve. As such, a wide range of nature-inspired computing approaches has been used in multidisciplinary engineering applications. Written by researchers and developers from a variety of fields, this book presents the latest findings, novel techniques and pioneering applications.

Contemporary Advancements in Information Technology Development in Dynamic Environments

Khosrow-Pour, Mehdi
Contemporary Advancements in Information Technology Development in Dynamic Environments Book PDF

Author : Khosrow-Pour, Mehdi
Publisher : IGI Global
Page : 432 pages
File Size : 41,7 Mb
Release : 2014-06-30
Category : Computers
ISBN : 9781466662537

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Contemporary Advancements in Information Technology Development in Dynamic Environments by Khosrow-Pour, Mehdi Pdf

The advancement of information technology is becoming more prevalent in all aspects of the world today, including online environments. Understanding technology’s effect on niche markets and all fields of research is crucial for practitioners in this area. Contemporary Advancements in Information Technology Development in Dynamic Environments presents an in-depth discussion into the information technology revolution present in fields such as government, gaming, social networking, and cloud computing. This book’s investigation into the research and application of information technology in several specific areas make this a useful resource for practitioners, professionals, undergraduate/graduate students, and academics.

Swarm Intelligence and Bio-Inspired Computation

M.P. Saka,E. Doğan,Ibrahim Aydogdu
Swarm Intelligence and Bio Inspired Computation Book PDF

Author : M.P. Saka,E. Doğan,Ibrahim Aydogdu
Publisher : Elsevier Inc. Chapters
Page : 450 pages
File Size : 43,6 Mb
Release : 2013-05-16
Category : Computers
ISBN : 9780128068885

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Swarm Intelligence and Bio-Inspired Computation by M.P. Saka,E. Doğan,Ibrahim Aydogdu Pdf

Swarm intelligence refers to collective intelligence. Biologists and natural scientist have been studying the behavior of social insects due to their efficiency of solving complex problems such as finding the shortest path between their nest and food source or organizing their nests. In spite of the fact that these insects are unsophisticated individually, they make wonders as a swarm by interaction with each other and their environment. In last two decades, the behaviors of various swarms that are used in finding preys or mating are simulated into a numerical optimization technique. In this chapter, eight different swarm intelligence–based algorithms are summarized and their working steps are listed. These techniques are ant colony optimizer, particle swarm optimizer, artificial bee colony algorithm, glowworm algorithm, firefly algorithm, cuckoo search algorithm, bat algorithm, and hunting search algorithm. Two optimization problems taken from the literature are solved by all these eight algorithms and their performance are compared. It is noticed that most of the swarm intelligence–based algorithms are simple and robust techniques that determine the optimum solution of optimization problems efficiently without requiring much of a mathematical struggling.

Swarm Intelligence and Bio-Inspired Computation

Xin-She Yang,Zhihua Cui,Renbin Xiao,Amir Hossein Gandomi,Mehmet Karamanoglu
Swarm Intelligence and Bio Inspired Computation Book PDF

Author : Xin-She Yang,Zhihua Cui,Renbin Xiao,Amir Hossein Gandomi,Mehmet Karamanoglu
Publisher : Newnes
Page : 450 pages
File Size : 51,5 Mb
Release : 2013-05-16
Category : Computers
ISBN : 9780124051775

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Swarm Intelligence and Bio-Inspired Computation by Xin-She Yang,Zhihua Cui,Renbin Xiao,Amir Hossein Gandomi,Mehmet Karamanoglu Pdf

Swarm Intelligence and bio-inspired computation have become increasing popular in the last two decades. Bio-inspired algorithms such as ant colony algorithms, bat algorithms, bee algorithms, firefly algorithms, cuckoo search and particle swarm optimization have been applied in almost every area of science and engineering with a dramatic increase of number of relevant publications. This book reviews the latest developments in swarm intelligence and bio-inspired computation from both the theory and application side, providing a complete resource that analyzes and discusses the latest and future trends in research directions. It can help new researchers to carry out timely research and inspire readers to develop new algorithms. With its impressive breadth and depth, this book will be useful for advanced undergraduate students, PhD students and lecturers in computer science, engineering and science as well as researchers and engineers. Focuses on the introduction and analysis of key algorithms Includes case studies for real-world applications Contains a balance of theory and applications, so readers who are interested in either algorithm or applications will all benefit from this timely book.