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Introduction To Nature Inspired Optimization

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Introduction to Nature Inspired Optimization

Introduction to Nature Inspired Optimization Book
Author : George Lindfield,John Penny
Publisher : Academic Press
Release : 2017-08-10
ISBN : 0128036664
Language : En, Es, Fr & De

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Book Description :

Introduction to Nature-Inspired Optimization brings together many of the innovative mathematical methods for non-linear optimization that have their origins in the way various species behave in order to optimize their chances of survival. The book describes each method, examines their strengths and weaknesses, and where appropriate, provides the MATLAB code to give practical insight into the detailed structure of these methods and how they work. Nature-inspired algorithms emulate processes that are found in the natural world, spurring interest for optimization. Lindfield/Penny provide concise coverage to all the major algorithms, including genetic algorithms, artificial bee colony algorithms, ant colony optimization and the cuckoo search algorithm, among others. This book provides a quick reference to practicing engineers, researchers and graduate students who work in the field of optimization. Applies concepts in nature and biology to develop new algorithms for nonlinear optimization Offers working MATLAB® programs for the major algorithms described, applying them to a range of problems Provides useful comparative studies of the algorithms, highlighting their strengths and weaknesses Discusses the current state-of-the-field and indicates possible areas of future development

Nature Inspired Optimization Algorithms

Nature Inspired Optimization Algorithms Book
Author : Xin-She Yang
Publisher : Elsevier
Release : 2014-02-17
ISBN : 0124167454
Language : En, Es, Fr & De

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Book Description :

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

Nature Inspired Methods for Metaheuristics Optimization

Nature Inspired Methods for Metaheuristics Optimization Book
Author : Fouad Bennis,Rajib Kumar Bhattacharjya
Publisher : Springer Nature
Release : 2020-01-17
ISBN : 3030264580
Language : En, Es, Fr & De

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Book Description :

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.

Search and Optimization by Metaheuristics

Search and Optimization by Metaheuristics Book
Author : Ke-Lin Du,M. N. S. Swamy
Publisher : Birkhäuser
Release : 2016-07-20
ISBN : 3319411926
Language : En, Es, Fr & De

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Book Description :

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.

Discrete Problems in Nature Inspired Algorithms

Discrete Problems in Nature Inspired Algorithms Book
Author : Anupam Prof. Shukla,Ritu Tiwari
Publisher : CRC Press
Release : 2017-12-15
ISBN : 1351260863
Language : En, Es, Fr & De

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Book Description :

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.

Biologically Inspired Optimization Methods

Biologically Inspired Optimization Methods Book
Author : Mattias Wahde
Publisher : Wit Pr/Computational Mechanics
Release : 2008
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Biologically inspired optimization methods constitute a rapidly expanding field of research, with new applications appearing on an almost daily basis, as optimization problems of ever-increasing complexity appear in science and technology. This book provides a general introduction to such optimization methods, along with descriptions of the biological systems upon which the methods are based. The book also covers classical optimization methods, making it possible for the reader to determine whether a classical optimization method or a biologically inspired one is most suitable for a given problem.

Mathematical Foundations of Nature Inspired Algorithms

Mathematical Foundations of Nature Inspired Algorithms Book
Author : Xin-She Yang,Xing-Shi He
Publisher : Springer
Release : 2019-05-08
ISBN : 3030169367
Language : En, Es, Fr & De

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Book Description :

This book presents a systematic approach to analyze nature-inspired algorithms. Beginning with an introduction to optimization methods and algorithms, this book moves on to provide a unified framework of mathematical analysis for convergence and stability. Specific nature-inspired algorithms include: swarm intelligence, ant colony optimization, particle swarm optimization, bee-inspired algorithms, bat algorithm, firefly algorithm, and cuckoo search. Algorithms are analyzed from a wide spectrum of theories and frameworks to offer insight to the main characteristics of algorithms and understand how and why they work for solving optimization problems. In-depth mathematical analyses are carried out for different perspectives, including complexity theory, fixed point theory, dynamical systems, self-organization, Bayesian framework, Markov chain framework, filter theory, statistical learning, and statistical measures. Students and researchers in optimization, operations research, artificial intelligence, data mining, machine learning, computer science, and management sciences will see the pros and cons of a variety of algorithms through detailed examples and a comparison of algorithms.

Nature Inspired Computation in Engineering

Nature Inspired Computation in Engineering Book
Author : Xin-She Yang
Publisher : Springer
Release : 2016-04-13
ISBN : 9783319302331
Language : En, Es, Fr & De

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Book Description :

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.

Nature Inspired Computing

Nature Inspired Computing Book
Author : Nazmul H. Siddique,Hojjat Adeli
Publisher : CRC Press
Release : 2017-05-19
ISBN : 1482244837
Language : En, Es, Fr & De

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Book Description :

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.

Mathematical Foundations of Nature Inspired Algorithms

Mathematical Foundations of Nature Inspired Algorithms Book
Author : Xin-She Yang,Xing-Shi He
Publisher : Springer
Release : 2019-05-20
ISBN : 9783030169350
Language : En, Es, Fr & De

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Book Description :

This book presents a systematic approach to analyze nature-inspired algorithms. Beginning with an introduction to optimization methods and algorithms, this book moves on to provide a unified framework of mathematical analysis for convergence and stability. Specific nature-inspired algorithms include: swarm intelligence, ant colony optimization, particle swarm optimization, bee-inspired algorithms, bat algorithm, firefly algorithm, and cuckoo search. Algorithms are analyzed from a wide spectrum of theories and frameworks to offer insight to the main characteristics of algorithms and understand how and why they work for solving optimization problems. In-depth mathematical analyses are carried out for different perspectives, including complexity theory, fixed point theory, dynamical systems, self-organization, Bayesian framework, Markov chain framework, filter theory, statistical learning, and statistical measures. Students and researchers in optimization, operations research, artificial intelligence, data mining, machine learning, computer science, and management sciences will see the pros and cons of a variety of algorithms through detailed examples and a comparison of algorithms.

Nature Inspired Computing

Nature Inspired Computing Book
Author : Nazmul H. Siddique,Hojjat Adeli
Publisher : Chapman & Hall/CRC
Release : 2017-05-15
ISBN : 9781482244809
Language : En, Es, Fr & De

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Book Description :

This book provides a comprehensive introduction to nature-inspired computing, with an emphasis on applications to real-life engineering problems. It focuses on bio-inspired algorithms, and includes an introduction to particle swarm optimisation.

Discrete Problems in Nature Inspired Algorithms

Discrete Problems in Nature Inspired Algorithms Book
Author : Anupam Shukla
Publisher : Unknown
Release : 2018
ISBN : 9781138196148
Language : En, Es, Fr & De

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Book Description :

Download Discrete Problems in Nature Inspired Algorithms book written by Anupam Shukla, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Nature Inspired Optimization Techniques for Image Processing Applications

Nature Inspired Optimization Techniques for Image Processing Applications Book
Author : Jude Hemanth,Valentina Emilia Balas
Publisher : Springer
Release : 2018-09-19
ISBN : 3319960024
Language : En, Es, Fr & De

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Book Description :

This book provides a platform for exploring nature-inspired optimization techniques in the context of imaging applications. Optimization has become part and parcel of all computational vision applications, and since the amount of data used in these applications is vast, the need for optimization techniques has increased exponentially. These accuracy and complexity are a major area of concern when it comes to practical applications. However, these optimization techniques have not yet been fully explored in the context of imaging applications. By presenting interdisciplinary concepts, ranging from optimization to image processing, the book appeals to a broad readership, while also encouraging budding engineers to pursue and employ innovative nature-inspired techniques for image processing applications.

Nature Inspired Optimization Algorithms

Nature Inspired Optimization Algorithms Book
Author : Vasuki A
Publisher : CRC Press
Release : 2020-05-31
ISBN : 1000076601
Language : En, Es, Fr & De

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Book Description :

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.

Advanced Optimization by Nature Inspired Algorithms

Advanced Optimization by Nature Inspired Algorithms Book
Author : Omid Bozorg-Haddad
Publisher : Springer
Release : 2017-06-30
ISBN : 9811052212
Language : En, Es, Fr & De

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Book Description :

This book, compiles, presents, and explains the most important meta-heuristic and evolutionary optimization algorithms whose successful performance has been proven in different fields of engineering, and it includes application of these algorithms to important engineering optimization problems. In addition, this book guides readers to studies that have implemented these algorithms by providing a literature review on developments and applications of each algorithm. This book is intended for students, but can be used by researchers and professionals in the area of engineering optimization.

Harmony Search and Nature Inspired Optimization Algorithms

Harmony Search and Nature Inspired Optimization Algorithms Book
Author : Neha Yadav,Anupam Yadav,Jagdish Chand Bansal,Kusum Deep,Joong Hoon Kim
Publisher : Springer
Release : 2018-08-23
ISBN : 981130761X
Language : En, Es, Fr & De

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Book Description :

The book covers different aspects of real-world applications of optimization algorithms. It provides insights from the Fourth International Conference on Harmony Search, Soft Computing and Applications held at BML Munjal University, Gurgaon, India on February 7–9, 2018. It consists of research articles on novel and newly proposed optimization algorithms; the theoretical study of nature-inspired optimization algorithms; numerically established results of nature-inspired optimization algorithms; and real-world applications of optimization algorithms and synthetic benchmarking of optimization algorithms.

Nature Inspired Optimization in Advanced Manufacturing Processes and Systems

Nature Inspired Optimization in Advanced Manufacturing Processes and Systems Book
Author : Ganesh M. Kakandikar,Dinesh G. Thakur
Publisher : CRC Press
Release : 2020-12-15
ISBN : 1000258467
Language : En, Es, Fr & De

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Book Description :

Nature-Inspired Optimization in Advanced Manufacturing Processes and Systems Subject Guide: Engineering—Industrial and Manufacturing The manufacturing system is going through substantial changes and developments in light of Industry 4.0. Newer manufacturing technologies are being developed and applied. There is a need to optimize these techniques when applied in different circumstances with respect to materials, tools, product configurations, and process parameters. This book covers computational intelligence applied to manufacturing. It discusses nature-inspired optimization of processes and the design and development in manufacturing systems. It explores all manufacturing processes, at both macro and micro levels, and offers manufacturing philosophies. Nonconventional manufacturing, real industry problems and case studies, research on generative processes, and relevance of all this to Industry 4.0, is also included. Researchers, students, academicians, and industry professionals will find this reference title very useful.

Nature Inspired Computation in Navigation and Routing Problems

Nature Inspired Computation in Navigation and Routing Problems Book
Author : Xin-She Yang,Yu-Xin Zhao
Publisher : Springer Nature
Release : 2020-02-19
ISBN : 9811518424
Language : En, Es, Fr & De

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Book Description :

This book discusses all the major nature-inspired algorithms with a focus on their application in the context of solving navigation and routing problems. It also reviews the approximation methods and recent nature-inspired approaches for practical navigation, and compares these methods with traditional algorithms to validate the approach for the case studies discussed. Further, it examines the design of alternative solutions using nature-inspired techniques, and explores the challenges of navigation and routing problems and nature-inspired metaheuristic approaches.

Bio Inspired Computation and Applications in Image Processing

Bio Inspired Computation and Applications in Image Processing Book
Author : Xin-She Yang,João Paulo Papa
Publisher : Academic Press
Release : 2016-08-09
ISBN : 012804537X
Language : En, Es, Fr & De

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Book Description :

Bio-Inspired Computation and Applications in Image Processing summarizes the latest developments in bio-inspired computation in image processing, focusing on nature-inspired algorithms that are linked with deep learning, such as ant colony optimization, particle swarm optimization, and bat and firefly algorithms that have recently emerged in the field. In addition to documenting state-of-the-art developments, this book also discusses future research trends in bio-inspired computation, helping researchers establish new research avenues to pursue. Reviews the latest developments in bio-inspired computation in image processing Focuses on the introduction and analysis of the key bio-inspired methods and techniques Combines theory with real-world applications in image processing Helps solve complex problems in image and signal processing Contains a diverse range of self-contained case studies in real-world applications

Frontier Applications of Nature Inspired Computation

Frontier Applications of Nature Inspired Computation Book
Author : Mahdi Khosravy,Neeraj Gupta,Nilesh Patel,Tomonobu Senjyu
Publisher : Springer Nature
Release : 2020-03-11
ISBN : 9811521336
Language : En, Es, Fr & De

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Book Description :

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.