Advances In Multi Objective Nature Inspired Computing PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Advances In Multi Objective Nature Inspired Computing PDF full book. Access full book title Advances In Multi Objective Nature Inspired Computing.
Author | : Carlos Coello Coello |
Publisher | : Springer Science & Business Media |
Total Pages | : 204 |
Release | : 2010-02-04 |
Genre | : Mathematics |
ISBN | : 364211217X |
Download Advances in Multi-Objective Nature Inspired Computing Book in PDF, ePub and Kindle
The purpose of this book is to collect contributions that deal with the use of nature inspired metaheuristics for solving multi-objective combinatorial optimization problems. Such a collection intends to provide an overview of the state-of-the-art developments in this field, with the aim of motivating more researchers in operations research, engineering, and computer science, to do research in this area. As such, this book is expected to become a valuable reference for those wishing to do research on the use of nature inspired metaheuristics for solving multi-objective combinatorial optimization problems.
Author | : Shishir Kumar Shandilya |
Publisher | : Springer |
Total Pages | : 349 |
Release | : 2018-08-29 |
Genre | : Technology & Engineering |
ISBN | : 3319964518 |
Download Advances in Nature-Inspired Computing and Applications Book in PDF, ePub and Kindle
This book contains research contributions from leading global scholars in nature-inspired computing. It includes comprehensive coverage of each respective topic, while also highlighting recent and future trends. The contributions provides readers with a snapshot of the state of the art in the field of nature-inspired computing and its application. This book has focus on the current researches while highlighting the empirical results along with theoretical concepts to provide a comprehensive reference for students, researchers, scholars, professionals and practitioners in the field of Advanced Artificial Intelligence, Nature-Inspired Algorithms and Soft Computing.
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.
Author | : Ajith Abraham |
Publisher | : Springer Science & Business Media |
Total Pages | : 313 |
Release | : 2005-09-05 |
Genre | : Computers |
ISBN | : 1846281377 |
Download Evolutionary Multiobjective Optimization Book in PDF, ePub and Kindle
Evolutionary Multi-Objective Optimization is an expanding field of research. This book brings a collection of papers with some of the most recent advances in this field. The topic and content is currently very fashionable and has immense potential for practical applications and includes contributions from leading researchers in the field. Assembled in a compelling and well-organised fashion, Evolutionary Computation Based Multi-Criteria Optimization will prove beneficial for both academic and industrial scientists and engineers engaged in research and development and application of evolutionary algorithm based MCO. Packed with must-find information, this book is the first to comprehensively and clearly address the issue of evolutionary computation based MCO, and is an essential read for any researcher or practitioner of the technique.
Author | : Slim Bechikh |
Publisher | : Springer |
Total Pages | : 179 |
Release | : 2016-08-09 |
Genre | : Technology & Engineering |
ISBN | : 3319429787 |
Download Recent Advances in Evolutionary Multi-objective Optimization Book in PDF, ePub and Kindle
This book covers the most recent advances in the field of evolutionary multiobjective optimization. With the aim of drawing the attention of up-and coming scientists towards exciting prospects at the forefront of computational intelligence, the authors have made an effort to ensure that the ideas conveyed herein are accessible to the widest audience. The book begins with a summary of the basic concepts in multi-objective optimization. This is followed by brief discussions on various algorithms that have been proposed over the years for solving such problems, ranging from classical (mathematical) approaches to sophisticated evolutionary ones that are capable of seamlessly tackling practical challenges such as non-convexity, multi-modality, the presence of multiple constraints, etc. Thereafter, some of the key emerging aspects that are likely to shape future research directions in the field are presented. These include: optimization in dynamic environments, multi-objective bilevel programming, handling high dimensionality under many objectives, and evolutionary multitasking. In addition to theory and methodology, this book describes several real-world applications from various domains, which will expose the readers to the versatility of evolutionary multi-objective optimization.
Author | : Shandilya, Shishir K. |
Publisher | : IGI Global |
Total Pages | : 627 |
Release | : 2017-03-10 |
Genre | : Computers |
ISBN | : 1522521291 |
Download Handbook of Research on Soft Computing and Nature-Inspired Algorithms Book in PDF, ePub and Kindle
Soft computing and nature-inspired computing both play a significant role in developing a better understanding to machine learning. When studied together, they can offer new perspectives on the learning process of machines. The Handbook of Research on Soft Computing and Nature-Inspired Algorithms is an essential source for the latest scholarly research on applications of nature-inspired computing and soft computational systems. Featuring comprehensive coverage on a range of topics and perspectives such as swarm intelligence, speech recognition, and electromagnetic problem solving, this publication is ideally designed for students, researchers, scholars, professionals, and practitioners seeking current research on the advanced workings of intelligence in computing systems.
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 | : Minakhi Rout |
Publisher | : Springer Nature |
Total Pages | : 303 |
Release | : 2019-11-26 |
Genre | : Computers |
ISBN | : 3030338207 |
Download Nature Inspired Computing for Data Science Book in PDF, ePub and Kindle
This book discusses the current research and concepts in data science and how these can be addressed using different nature-inspired optimization techniques. Focusing on various data science problems, including classification, clustering, forecasting, and deep learning, it explores how researchers are using nature-inspired optimization techniques to find solutions to these problems in domains such as disease analysis and health care, object recognition, vehicular ad-hoc networking, high-dimensional data analysis, gene expression analysis, microgrids, and deep learning. As such it provides insights and inspiration for researchers to wanting to employ nature-inspired optimization techniques in their own endeavors.
Author | : Srikanta Patnaik |
Publisher | : Springer |
Total Pages | : 494 |
Release | : 2017-03-07 |
Genre | : Technology & Engineering |
ISBN | : 3319509209 |
Download Nature-Inspired Computing and Optimization Book in PDF, ePub and Kindle
The book provides readers with a snapshot of the state of the art in the field of nature-inspired computing and its application in optimization. The approach is mainly practice-oriented: each bio-inspired technique or algorithm is introduced together with one of its possible applications. Applications cover a wide range of real-world optimization problems: from feature selection and image enhancement to scheduling and dynamic resource management, from wireless sensor networks and wiring network diagnosis to sports training planning and gene expression, from topology control and morphological filters to nutritional meal design and antenna array design. There are a few theoretical chapters comparing different existing techniques, exploring the advantages of nature-inspired computing over other methods, and investigating the mixing time of genetic algorithms. The book also introduces a wide range of algorithms, including the ant colony optimization, the bat algorithm, genetic algorithms, the collision-based optimization algorithm, the flower pollination algorithm, multi-agent systems and particle swarm optimization. This timely book is intended as a practice-oriented reference guide for students, researchers and professionals.
Author | : Carlos A. Coello Coello |
Publisher | : World Scientific |
Total Pages | : 792 |
Release | : 2004 |
Genre | : Computers |
ISBN | : 9812561064 |
Download Applications of Multi-objective Evolutionary Algorithms Book in PDF, ePub and Kindle
- Detailed MOEA applications discussed by international experts - State-of-the-art practical insights in tackling statistical optimization with MOEAs - A unique monograph covering a wide spectrum of real-world applications - Step-by-step discussion of MOEA applications in a variety of domains