Bioinspired Heuristics For Optimization

Author : El-Ghazali Talbi
Publisher : Springer
ISBN 13 : 3319951041
Total Pages : 314 pages
Book Rating : 4.41/5 ( download)

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Download or read book Bioinspired Heuristics for Optimization written by El-Ghazali Talbi and published by Springer. This book was released on 2018-08-18 with total page 314 pages. 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.

Author : Frank Neumann
Publisher : Springer Science & Business Media
ISBN 13 : 3642165443
Total Pages : 215 pages
Book Rating : 4.43/5 ( download)

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Download or read book Bioinspired Computation in Combinatorial Optimization written by Frank Neumann and published by Springer Science & Business Media. This book was released on 2010-11-04 with total page 215 pages. 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.

Author : Peter Korošec
Publisher : Springer
ISBN 13 : 3319916416
Total Pages : 333 pages
Book Rating : 4.15/5 ( download)

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Download or read book Bioinspired Optimization Methods and Their Applications written by Peter Korošec and published by Springer. This book was released on 2018-05-11 with total page 333 pages. 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.

Author : Farouk Yalaoui
Publisher : Springer Nature
ISBN 13 : 3030589307
Total Pages : 444 pages
Book Rating : 4.01/5 ( download)

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Download or read book Heuristics for Optimization and Learning written by Farouk Yalaoui and published by Springer Nature. This book was released on 2020-12-15 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a new contribution aiming to give some last research findings in the field of optimization and computing. This work is in the same field target than our two previous books published: “Recent Developments in Metaheuristics” and “Metaheuristics for Production Systems”, books in Springer Series in Operations Research/Computer Science Interfaces. The challenge with this work is to gather the main contribution in three fields, optimization technique for production decision, general development for optimization and computing method and wider spread applications. The number of researches dealing with decision maker tool and optimization method grows very quickly these last years and in a large number of fields. We may be able to read nice and worthy works from research developed in chemical, mechanical, computing, automotive and many other fields.

Author : Aleksandra Swiercz
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.88/5 ( download)

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Download or read book Hyper-Heuristics and Metaheuristics for Selected Bio-Inspired Combinatorial Optimization Problems written by Aleksandra Swiercz and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Many decision and optimization problems arising in bioinformatics field are time demanding, and several algorithms are designed to solve these problems or to improve their current best solution approach. Modeling and implementing a new heuristic algorithm may be time-consuming but has strong motivations: on the one hand, even a small improvement of the new solution may be worth the long time spent on the construction of a new method; on the other hand, there are problems for which good-enough solutions are acceptable which could be achieved at a much lower computational cost. In the first case, specially designed heuristics or metaheuristics are needed, while the latter hyper-heuristics can be proposed. The paper will describe both approaches in different domain problems.

Author : Camilo Caraveo
Publisher : Springer
ISBN 13 : 3030055515
Total Pages : 57 pages
Book Rating : 4.16/5 ( download)

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Download or read book A New Bio-inspired Optimization Algorithm Based on the Self-defense Mechanism of Plants in Nature written by Camilo Caraveo and published by Springer. This book was released on 2018-12-30 with total page 57 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a new meta-heuristic algorithm, inspired by the self-defense mechanisms of plants in nature. Numerous published works have demonstrated the various self-defense mechanisms (survival strategies) plants use to protect themselves against predatory organisms, such as herbivorous insects. The proposed algorithm is based on the predator–prey mathematical model originally proposed by Lotka and Volterra, consisting of two nonlinear first-order differential equations, which allow the growth of two interacting populations (prey and predator) to be modeled. The proposed meta-heuristic is able to produce excellent results in several sets of benchmark optimization problems. Further, fuzzy logic is used for dynamic parameter adaptation in the algorithm.

Author : Karl F. Doerner
Publisher : Springer Science & Business Media
ISBN 13 : 0387719210
Total Pages : 409 pages
Book Rating : 4.14/5 ( download)

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Download or read book Metaheuristics written by Karl F. Doerner and published by Springer Science & Business Media. This book was released on 2007-08-13 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book’s aim is to provide several different kinds of information: a delineation of general metaheuristics methods, a number of state-of-the-art articles from a variety of well-known classical application areas as well as an outlook to modern computational methods in promising new areas. Therefore, this book may equally serve as a textbook in graduate courses for students, as a reference book for people interested in engineering or social sciences, and as a collection of new and promising avenues for researchers working in this field.

Author : Mattias Wahde
Publisher : WIT Press
ISBN 13 : 1845641485
Total Pages : 241 pages
Book Rating : 4.81/5 ( download)

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Download or read book Biologically Inspired Optimization Methods written by Mattias Wahde and published by WIT Press. This book was released on 2008-08-14 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biologically inspired optimization methods constitute a rapidly expanding field of research, with new applications appearing on an almost daily basis, as optimization problems of ever-increasing complexity appear in science and technology. This book provides a general introduction to such optimization methods, along with descriptions of the biological systems upon which the methods are based. The book also covers classical optimization methods, making it possible for the reader to determine whether a classical optimization method or a biologically inspired one is most suitable for a given problem.

Author : Viorica Rozina Chifu
Publisher : LAP Lambert Academic Publishing
ISBN 13 : 9783659684586
Total Pages : 120 pages
Book Rating : 4.89/5 ( download)

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Download or read book Bio-inspired Methods for Business Process Mining and Optimization written by Viorica Rozina Chifu and published by LAP Lambert Academic Publishing. This book was released on 2015-02-23 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an overview on how biologically-inspired meta-heuristics can be applied to solve optimization problems encountered in the business process management domain. Thus, the book integrates, in a unitary approach, a set of biologically-inspired methods proposed by the authors, methods which address the problems of business process mining and business process optimization. The book is intended to be used by researchers, PhD students or Master students in Computer Science interested in learning how to apply biologically-inspired meta-heuristics in the domains of business process mining and business process optimization.

Author : Modestus O. Okwu
Publisher : Springer Nature
ISBN 13 : 3030611116
Total Pages : 192 pages
Book Rating : 4.18/5 ( download)

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Download or read book Metaheuristic Optimization: Nature-Inspired Algorithms Swarm and Computational Intelligence, Theory and Applications written by Modestus O. Okwu and published by Springer Nature. This book was released on 2020-11-13 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book exemplifies how algorithms are developed by mimicking nature. Classical techniques for solving day-to-day problems is time-consuming and cannot address complex problems. Metaheuristic algorithms are nature-inspired optimization techniques for solving real-life complex problems. This book emphasizes the social behaviour of insects, animals and other natural entities, in terms of converging power and benefits. Major nature-inspired algorithms discussed in this book include the bee colony algorithm, ant colony algorithm, grey wolf optimization algorithm, whale optimization algorithm, firefly algorithm, bat algorithm, ant lion optimization algorithm, grasshopper optimization algorithm, butterfly optimization algorithm and others. The algorithms have been arranged in chapters to help readers gain better insight into nature-inspired systems and swarm intelligence. All the MATLAB codes have been provided in the appendices of the book to enable readers practice how to solve examples included in all sections. This book is for experts in Engineering and Applied Sciences, Natural and Formal Sciences, Economics, Humanities and Social Sciences.