Numerical and Evolutionary Optimization – NEO 2017 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Numerical and Evolutionary Optimization – NEO 2017 write by Leonardo Trujillo. This book was released on 2018-07-12. Numerical and Evolutionary Optimization – NEO 2017 available in PDF, EPUB and Kindle. This book features 15 chapters based on the Numerical and Evolutionary Optimization (NEO 2017) workshop, held from September 27 to 29 in the city of Tijuana, Mexico. The event gathered researchers from two complimentary fields to discuss the theory, development and application of state-of-the-art techniques to address search and optimization problems. The lively event included 7 invited talks and 64 regular talks covering a wide range of topics, from evolutionary computer vision and machine learning with evolutionary computation, to set oriented numeric and steepest descent techniques. Including research submitted by the NEO community, the book provides informative and stimulating material for future research in the field.
Evolutionary Optimization Algorithms
Evolutionary Optimization Algorithms - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Evolutionary Optimization Algorithms write by Dan Simon. This book was released on 2013-06-13. Evolutionary Optimization Algorithms available in PDF, EPUB and Kindle. A clear and lucid bottom-up approach to the basic principles of evolutionary algorithms Evolutionary algorithms (EAs) are a type of artificial intelligence. EAs are motivated by optimization processes that we observe in nature, such as natural selection, species migration, bird swarms, human culture, and ant colonies. This book discusses the theory, history, mathematics, and programming of evolutionary optimization algorithms. Featured algorithms include genetic algorithms, genetic programming, ant colony optimization, particle swarm optimization, differential evolution, biogeography-based optimization, and many others. Evolutionary Optimization Algorithms: Provides a straightforward, bottom-up approach that assists the reader in obtaining a clear but theoretically rigorous understanding of evolutionary algorithms, with an emphasis on implementation Gives a careful treatment of recently developed EAs including opposition-based learning, artificial fish swarms, bacterial foraging, and many others and discusses their similarities and differences from more well-established EAs Includes chapter-end problems plus a solutions manual available online for instructors Offers simple examples that provide the reader with an intuitive understanding of the theory Features source code for the examples available on the author's website Provides advanced mathematical techniques for analyzing EAs, including Markov modeling and dynamic system modeling Evolutionary Optimization Algorithms: Biologically Inspired and Population-Based Approaches to Computer Intelligence is an ideal text for advanced undergraduate students, graduate students, and professionals involved in engineering and computer science.
Evolutionary Computation for Modeling and Optimization
Evolutionary Computation for Modeling and Optimization - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Evolutionary Computation for Modeling and Optimization write by Daniel Ashlock. This book was released on 2006-04-04. Evolutionary Computation for Modeling and Optimization available in PDF, EPUB and Kindle. Concentrates on developing intuition about evolutionary computation and problem solving skills and tool sets. Lots of applications and test problems, including a biotechnology chapter.
NEO 2015
NEO 2015 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook NEO 2015 write by Oliver Schütze. This book was released on 2016-09-15. NEO 2015 available in PDF, EPUB and Kindle. This volume comprises a selection of works presented at the Numerical and Evolutionary Optimization (NEO) workshop held in September 2015 in Tijuana, Mexico. The development of powerful search and optimization techniques is of great importance in today’s world that requires researchers and practitioners to tackle a growing number of challenging real-world problems. In particular, there are two well-established and widely known fields that are commonly applied in this area: (i) traditional numerical optimization techniques and (ii) comparatively recent bio-inspired heuristics. Both paradigms have their unique strengths and weaknesses, allowing them to solve some challenging problems while still failing in others. The goal of the NEO workshop series is to bring together people from these and related fields to discuss, compare and merge their complimentary perspectives in order to develop fast and reliable hybrid methods that maximize the strengths and minimize the weaknesses of the underlying paradigms. Through this effort, we believe that the NEO can promote the development of new techniques that are applicable to a broader class of problems. Moreover, NEO fosters the understanding and adequate treatment of real-world problems particularly in emerging fields that affect us all such as health care, smart cities, big data, among many others. The extended papers the NEO 2015 that comprise this book make a contribution to this goal.
Numerical and Evolutionary Optimization 2018
Numerical and Evolutionary Optimization 2018 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Numerical and Evolutionary Optimization 2018 write by Adriana Lara. This book was released on 2019-11-19. Numerical and Evolutionary Optimization 2018 available in PDF, EPUB and Kindle. This book was established after the 6th International Workshop on Numerical and Evolutionary Optimization (NEO), representing a collection of papers on the intersection of the two research areas covered at this workshop: numerical optimization and evolutionary search techniques. While focusing on the design of fast and reliable methods lying across these two paradigms, the resulting techniques are strongly applicable to a broad class of real-world problems, such as pattern recognition, routing, energy, lines of production, prediction, and modeling, among others. This volume is intended to serve as a useful reference for mathematicians, engineers, and computer scientists to explore current issues and solutions emerging from these mathematical and computational methods and their applications.
