Foraging Inspired Optimisation Algorithms PDF Download
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Author | : Anthony Brabazon |
Publisher | : Springer |
Total Pages | : 478 |
Release | : 2018-09-26 |
Genre | : Computers |
ISBN | : 3319591568 |
Download Foraging-Inspired Optimisation Algorithms Book in PDF, ePub and Kindle
This book is an introduction to relevant aspects of the foraging literature for algorithmic design, and an overview of key families of optimization algorithms that stem from a foraging metaphor. The authors first offer perspectives on foraging and foraging-inspired algorithms for optimization, they then explain the techniques inspired by the behaviors of vertebrates, invertebrates, and non-neuronal organisms, and they then discuss algorithms based on formal models of foraging, how to evolve a foraging strategy, and likely future developments. No prior knowledge of natural computing is assumed. This book will be of particular interest to graduate students, academics and practitioners in computer science, informatics, data science, management science, and other application domains.
Author | : Jason Brownlee |
Publisher | : Jason Brownlee |
Total Pages | : 437 |
Release | : 2011 |
Genre | : Computers |
ISBN | : 1446785068 |
Download Clever Algorithms Book in PDF, ePub and Kindle
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.
Author | : Xin-She Yang |
Publisher | : Elsevier |
Total Pages | : 277 |
Release | : 2014-02-17 |
Genre | : Computers |
ISBN | : 0124167454 |
Download Nature-Inspired Optimization Algorithms Book in PDF, ePub and Kindle
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
Author | : George Lindfield |
Publisher | : Academic Press |
Total Pages | : 256 |
Release | : 2017-08-10 |
Genre | : Mathematics |
ISBN | : 0128036664 |
Download Introduction to Nature-Inspired Optimization Book in PDF, ePub and Kindle
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
Author | : Anthony Brabazon |
Publisher | : Springer |
Total Pages | : 554 |
Release | : 2015-10-08 |
Genre | : Computers |
ISBN | : 3662436310 |
Download Natural Computing Algorithms Book in PDF, ePub and Kindle
The field of natural computing has been the focus of a substantial research effort in recent decades. One particular strand of this research concerns the development of computational algorithms using metaphorical inspiration from systems and phenomena that occur in the natural world. These naturally inspired computing algorithms have proven to be successful problem-solvers across domains as diverse as management science, bioinformatics, finance, marketing, engineering, architecture and design. This book is a comprehensive introduction to natural computing algorithms, suitable for academic and industrial researchers and for undergraduate and graduate courses on natural computing in computer science, engineering and management science.
Author | : Fouad Bennis |
Publisher | : Springer Nature |
Total Pages | : 503 |
Release | : 2020-01-17 |
Genre | : Business & Economics |
ISBN | : 3030264580 |
Download Nature-Inspired Methods for Metaheuristics Optimization Book in PDF, ePub and Kindle
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.
Author | : Anupam Prof. Shukla |
Publisher | : CRC Press |
Total Pages | : 392 |
Release | : 2017-12-15 |
Genre | : Computers |
ISBN | : 1351260863 |
Download Discrete Problems in Nature Inspired Algorithms Book in PDF, ePub and Kindle
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.
Author | : Vasuki A |
Publisher | : CRC Press |
Total Pages | : 251 |
Release | : 2020-05-31 |
Genre | : Computers |
ISBN | : 1000076644 |
Download Nature-Inspired Optimization Algorithms Book in PDF, ePub and Kindle
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.
Author | : Muhammad Rashid |
Publisher | : LAP Lambert Academic Publishing |
Total Pages | : 144 |
Release | : 2010-10 |
Genre | : |
ISBN | : 9783843358347 |
Download Optimization - the Bee's Way Book in PDF, ePub and Kindle
Swarm intelligence algorithms are taking the spotlight in the field of function optimization. In this book our attention centers on a new framework inspired from the food foraging behavior of honey bees. Utilizing the Particle Swarm Optimization (PSO) algorithm within this framework we have developed a novel algorithm called Honey Bee Foraging Particle Swarm Optimization (HBF-PSO). The HBF-PSO algorithm and its variants are suitable for solving multimodal and dynamic optimization problems. We focus on the niching and speciation capabilities of these algorithms which allow them to locate and track multiple peaks in multimodal and dynamic environments. The HBF-PSO algorithm performs a collective foraging for fitness in promising neighborhoods in combination with individual scouting searches in other areas. The strength of the algorithm lies in its continuous monitoring of the whole scouting and foraging process with dynamic relocation of the bees (solution/particles) if more promising regions are found. Those looking for a novel approach to function optimization utilizing the food foraging behavior of honey bees can benefit from the information presented in this book.
Author | : Omid Bozorg-Haddad |
Publisher | : Springer |
Total Pages | : 159 |
Release | : 2017-06-30 |
Genre | : Technology & Engineering |
ISBN | : 9811052212 |
Download Advanced Optimization by Nature-Inspired Algorithms Book in PDF, ePub and Kindle
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.