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Bioinspired Heuristics for Optimization

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Release : 2018-08-18
Genre : Technology & Engineering
Kind : eBook
Book Rating : 041/5 ( reviews)

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Book Synopsis Bioinspired Heuristics for Optimization by : El-Ghazali Talbi

Download or read book Bioinspired Heuristics for Optimization written by El-Ghazali Talbi. This book was released on 2018-08-18. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent research on bioinspired heuristics for optimization. Learning- based and black-box optimization exhibit some properties of intrinsic parallelization, and can be used for various optimizations problems. Featuring the most relevant work presented at the 6th International Conference on Metaheuristics and Nature Inspired Computing, held at Marrakech (Morocco) from 27th to 31st October 2016, the book presents solutions, methods, algorithms, case studies, and software. It is a valuable resource for research academics and industrial practitioners.

Handbook of Bioinspired Algorithms and Applications

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Release : 2019-08-30
Genre :
Kind : eBook
Book Rating : 031/5 ( reviews)

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Book Synopsis Handbook of Bioinspired Algorithms and Applications by : Stephan Olariu

Download or read book Handbook of Bioinspired Algorithms and Applications written by Stephan Olariu. This book was released on 2019-08-30. Available in PDF, EPUB and Kindle. Book excerpt: The mystique of biologically inspired (or bioinspired) paradigms is their ability to describe and solve complex relationships from intrinsically very simple initial conditions and with little or no knowledge of the search space. Edited by two prominent, well-respected researchers, the Handbook of Bioinspired Algorithms and Applications reveals the connections between bioinspired techniques and the development of solutions to problems that arise in diverse problem domains. A repository of the theory and fundamentals as well as a manual for practical implementation, this authoritative handbook provides broad coverage in a single source along with numerous references to the available literature for more in-depth information. The book's two sections serve to balance coverage of theory and practical applications. The first section explains the fundamentals of techniques, such as evolutionary algorithms, swarm intelligence, cellular automata, and others. Detailed examples and case studies in the second section illustrate how to apply the theory in actually developing solutions to a particular problem based on a bioinspired technique. Emphasizing the importance of understanding and harnessing the robust capabilities of bioinspired techniques for solving computationally intractable optimizations and decision-making applications, the Handbook of Bioinspired Algorithms and Applications is an absolute must-read for anyone who is serious about advancing the next generation of computing.

Bioinspired Optimization Methods and Their Applications

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Release : 2018-05-13
Genre : Computers
Kind : eBook
Book Rating : 408/5 ( reviews)

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Book Synopsis Bioinspired Optimization Methods and Their Applications by : Peter Korošec

Download or read book Bioinspired Optimization Methods and Their Applications written by Peter Korošec. This book was released on 2018-05-13. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed revised selected papers of the 10th International Conference on Bioinspired Optimization Models and Their Applications, BIOMA 2018, held in Paris, France, in May 2018. The 27 revised full papers were selected from 53 submissions and present papers in all aspects of bioinspired optimization research such as new algorithmic developments, high-impact applications, new research challenges, theoretical contributions, implementation issues, and experimental studies.

Bioinspired Computation in Combinatorial Optimization

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Release : 2010-11-04
Genre : Mathematics
Kind : eBook
Book Rating : 443/5 ( reviews)

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Book Synopsis Bioinspired Computation in Combinatorial Optimization by : Frank Neumann

Download or read book Bioinspired Computation in Combinatorial Optimization written by Frank Neumann. This book was released on 2010-11-04. Available in PDF, EPUB and Kindle. Book excerpt: Bioinspired computation methods such as evolutionary algorithms and ant colony optimization are being applied successfully to complex engineering problems and to problems from combinatorial optimization, and with this comes the requirement to more fully understand the computational complexity of these search heuristics. This is the first textbook covering the most important results achieved in this area. The authors study the computational complexity of bioinspired computation and show how runtime behavior can be analyzed in a rigorous way using some of the best-known combinatorial optimization problems -- minimum spanning trees, shortest paths, maximum matching, covering and scheduling problems. A feature of the book is the separate treatment of single- and multiobjective problems, the latter a domain where the development of the underlying theory seems to be lagging practical successes. This book will be very valuable for teaching courses on bioinspired computation and combinatorial optimization. Researchers will also benefit as the presentation of the theory covers the most important developments in the field over the last 10 years. Finally, with a focus on well-studied combinatorial optimization problems rather than toy problems, the book will also be very valuable for practitioners in this field.

Nature-Inspired Methods for Metaheuristics Optimization

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Release : 2020-01-17
Genre : Business & Economics
Kind : eBook
Book Rating : 580/5 ( reviews)

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Book Synopsis Nature-Inspired Methods for Metaheuristics Optimization by : Fouad Bennis

Download or read book Nature-Inspired Methods for Metaheuristics Optimization written by Fouad Bennis. This book was released on 2020-01-17. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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