Harmony Search And Nature Inspired Optimization Algorithms

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Harmony Search and Nature Inspired Optimization Algorithms

Neha Yadav,Anupam Yadav,Jagdish Chand Bansal,Kusum Deep,Joong Hoon Kim
Harmony Search and Nature Inspired Optimization Algorithms Book PDF

Author : Neha Yadav,Anupam Yadav,Jagdish Chand Bansal,Kusum Deep,Joong Hoon Kim
Publisher : Springer
Page : 1238 pages
File Size : 47,8 Mb
Release : 2018-08-23
Category : Technology & Engineering
ISBN : 9789811307614

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Harmony Search and Nature Inspired Optimization Algorithms by Neha Yadav,Anupam Yadav,Jagdish Chand Bansal,Kusum Deep,Joong Hoon Kim Pdf

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 Algorithms

Xin-She Yang
Nature Inspired Optimization Algorithms Book PDF

Author : Xin-She Yang
Publisher : Elsevier
Page : 277 pages
File Size : 41,6 Mb
Release : 2014-02-17
Category : Computers
ISBN : 9780124167452

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Nature-Inspired Optimization Algorithms by Xin-She Yang Pdf

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

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 : 50,8 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.

Nature-inspired Metaheuristic Algorithms

Xin-She Yang
Nature inspired Metaheuristic Algorithms Book PDF

Author : Xin-She Yang
Publisher : Luniver Press
Page : 148 pages
File Size : 44,6 Mb
Release : 2010
Category : Computers
ISBN : 9781905986286

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Nature-inspired Metaheuristic Algorithms by Xin-She Yang Pdf

Modern metaheuristic algorithms such as bee algorithms and harmony search start to demonstrate their power in dealing with tough optimization problems and even NP-hard problems. This book reviews and introduces the state-of-the-art nature-inspired metaheuristic algorithms in optimization, including genetic algorithms, bee algorithms, particle swarm optimization, simulated annealing, ant colony optimization, harmony search, and firefly algorithms. We also briefly introduce the photosynthetic algorithm, the enzyme algorithm, and Tabu search. Worked examples with implementation have been used to show how each algorithm works. This book is thus an ideal textbook for an undergraduate and/or graduate course. As some of the algorithms such as the harmony search and firefly algorithms are at the forefront of current research, this book can also serve as a reference book for researchers.

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 : 53,9 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.

Proceedings of 6th International Conference on Harmony Search, Soft Computing and Applications

Sinan Melih Nigdeli,Joong Hoon Kim,Gebrail Bekdaş,Anupam Yadav
Proceedings of 6th International Conference on Harmony Search Soft Computing and Applications Book PDF

Author : Sinan Melih Nigdeli,Joong Hoon Kim,Gebrail Bekdaş,Anupam Yadav
Publisher : Springer Nature
Page : 438 pages
File Size : 50,7 Mb
Release : 2020-11-16
Category : Technology & Engineering
ISBN : 9789811586033

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Proceedings of 6th International Conference on Harmony Search, Soft Computing and Applications by Sinan Melih Nigdeli,Joong Hoon Kim,Gebrail Bekdaş,Anupam Yadav Pdf

This book covers different aspects of real-world applications of optimization algorithms. It provides insights from the Sixth International Conference on Harmony Search, Soft Computing and Applications held at Istanbul University, Turkey, in July 2020. Harmony Search (HS) is one of the most popular metaheuristic algorithms, developed in 2001 by Prof. Joong Hoon Kim and Prof. Zong Woo Geem, that mimics the improvisation process of jazz musicians to seek the best harmony. The book 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.

Harmony Search Algorithm. Theory and Applications

Assif Assad
Harmony Search Algorithm Theory and Applications Book PDF

Author : Assif Assad
Publisher : GRIN Verlag
Page : 68 pages
File Size : 41,5 Mb
Release : 2019-04-04
Category : Computers
ISBN : 9783668916142

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Harmony Search Algorithm. Theory and Applications by Assif Assad Pdf

Doctoral Thesis / Dissertation from the year 2018 in the subject Computer Sciences - Artificial Intelligence, grade: A, Indian Institute of Technology Roorkee, language: English, abstract: The aim of this book is to introduce Harmony Search algorithm in the context of solving real life problems. Harmony Search (HS) is a musician’s behavior inspired metaheuristic algorithm developed in 2001, though it is a relatively new meta heuristic algorithm, its effectiveness and advantages have been demonstrated in various applications like traffic routing, multi objective optimization, design of municipal water distribution networks, load dispatch problem in electrical engineering, rostering problems, clustering, structural design, classification and feature selection to name a few. Optimization is the process of finding the best alternate solution among a given set of solutions under some given constraints. The process of finding the maximum or minimum possible value, which a function can attain in its domain, is known as optimization. One of the most striking trends that emerged in the optimization field is the simulation of natural processes as efficient global search methods. The natural processes or phenomena are firstly analyzed mathematically and then coded as computer programs for solving complex nonlinear real-world problems. The resulting methods are called Nature Inspired Algorithms that can often outperform classic methods. The advantages of these methods are their ability to solve various standard or application-based problems successfully without any prior knowledge of the problem space. Moreover, these algorithms are more likely to obtain the global optima of a given problem. They do not require any continuity and differentiability of the objective functions. Also, they work on a randomly generated population of solutions instead of one solution. They are easy to program and can be easily implemented on a computer. Some of the examples of Nature Inspired Optimization Techniques are Genetic Algorithm, Particle Swarm Optimization, Artificial Bee Colony Optimization and Ant Colony 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 : 49,8 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.

Harmony Search Algorithm

Javier Del Ser
Harmony Search Algorithm Book PDF

Author : Javier Del Ser
Publisher : Springer
Page : 366 pages
File Size : 43,8 Mb
Release : 2017-01-20
Category : Technology & Engineering
ISBN : 9789811037283

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Harmony Search Algorithm by Javier Del Ser Pdf

This book presents state-of-the-art technical contributions based around one of the most successful evolutionary optimization algorithms published to date: Harmony Search. Contributions span from novel technical derivations of this algorithm to applications in the broad fields of civil engineering, energy, transportation & mobility and health, among many others and focus not only on its cross-domain applicability, but also on its core evolutionary operators, including elements inspired from other meta-heuristics. The global scientific community is witnessing an upsurge in groundbreaking, new advances in all areas of computational intelligence, with a particular flurry of research focusing on evolutionary computation and bio-inspired optimization. Observed processes in nature and sociology have provided the basis for innovative algorithmic developments aimed at leveraging the inherent capability to adapt characterized by various animals, including ants, fireflies, wolves and humans. However, it is the behavioral patterns observed in music composition that motivated the advent of the Harmony Search algorithm, a meta-heuristic optimization algorithm that over the last decade has been shown to dominate other solvers in a plethora of application scenarios. The book consists of a selection of the best contributions presented at ICHSA, a major biannual event where leading global experts on meta-heuristic optimization present their latest findings and discuss the past, present, and future of the exciting field of Harmony Search optimization. It provides a valuable reference resource for researchers working in the field of optimization meta-heuristics, and a solid technical base for frontline investigations around this algorithm.

Clever Algorithms

Jason Brownlee
Clever Algorithms Book PDF

Author : Jason Brownlee
Publisher : Jason Brownlee
Page : 437 pages
File Size : 43,8 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.

Nature-Inspired Optimization Algorithms

Aditya Khamparia,Ashish Khanna,Nhu Gia Nguyen,Bao Le Nguyen
Nature Inspired Optimization Algorithms Book PDF

Author : Aditya Khamparia,Ashish Khanna,Nhu Gia Nguyen,Bao Le Nguyen
Publisher : Walter de Gruyter GmbH & Co KG
Page : 201 pages
File Size : 45,9 Mb
Release : 2021-02-08
Category : Computers
ISBN : 9783110676150

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Nature-Inspired Optimization Algorithms by Aditya Khamparia,Ashish Khanna,Nhu Gia Nguyen,Bao Le Nguyen Pdf

This book will focus on the involvement of data mining and intelligent computing methods for recent advances in Biomedical applications and algorithms of nature-inspired computing for Biomedical systems. The proposed meta heuristic or nature-inspired techniques should be an enhanced, hybrid, adaptive or improved version of basic algorithms in terms of performance and convergence metrics. In this exciting and emerging interdisciplinary area a wide range of theory and methodologies are being investigated and developed to tackle complex and challenging problems. Today, analysis and processing of data is one of big focuses among researchers community and information society. Due to evolution and knowledge discovery of natural computing, related meta heuristic or bio-inspired algorithms have gained increasing popularity in the recent decade because of their significant potential to tackle computationally intractable optimization dilemma in medical, engineering, military, space and industry fields. The main reason behind the success rate of nature inspired algorithms is their capability to solve problems. The nature inspired optimization techniques provide adaptive computational tools for the complex optimization problems and diversified engineering applications. Tentative Table of Contents/Topic Coverage: - Neural Computation - Evolutionary Computing Methods - Neuroscience driven AI Inspired Algorithms - Biological System based algorithms - Hybrid and Intelligent Computing Algorithms - Application of Natural Computing - Review and State of art analysis of Optimization algorithms - Molecular and Quantum computing applications - Swarm Intelligence - Population based algorithm and other optimizations

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 : 44,6 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 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 : 49,6 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.

Proceedings of 7th International Conference on Harmony Search, Soft Computing and Applications

Joong Hoon Kim,Kusum Deep,Zong Woo Geem,Ali Sadollah,Anupam Yadav
Proceedings of 7th International Conference on Harmony Search Soft Computing and Applications Book PDF

Author : Joong Hoon Kim,Kusum Deep,Zong Woo Geem,Ali Sadollah,Anupam Yadav
Publisher : Springer Nature
Page : 509 pages
File Size : 48,6 Mb
Release : 2022-09-01
Category : Technology & Engineering
ISBN : 9789811929489

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Proceedings of 7th International Conference on Harmony Search, Soft Computing and Applications by Joong Hoon Kim,Kusum Deep,Zong Woo Geem,Ali Sadollah,Anupam Yadav Pdf

The book covers different aspects of real-world applications of optimization algorithms. It provides insights from the Seventh International Conference on Harmony Search, Soft Computing and Applications held at Virtual Conference, Seoul, South Korea, in February 2022. Harmony search (HS) is one of the most popular metaheuristic algorithms, developed in 2001 by Prof. Joong Hoon Kim and Prof. Zong Woo Geem, that mimics the improvisation process of jazz musicians to seek the best harmony. The book 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.

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 : 88 pages
File Size : 44,9 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.