Bioinspired Heuristics For Optimization
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Author | : El-Ghazali Talbi |
Publisher | : Springer |
Total Pages | : 0 |
Release | : 2018-08-29 |
Genre | : Technology & Engineering |
ISBN | : 9783319951034 |
Download Bioinspired Heuristics for Optimization Book in PDF, Epub and Kindle
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 | : El-Ghazali Talbi |
Publisher | : Springer |
Total Pages | : 314 |
Release | : 2018-08-18 |
Genre | : Technology & Engineering |
ISBN | : 3319951041 |
Download Bioinspired Heuristics for Optimization Book in PDF, Epub and Kindle
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 |
Total Pages | : 215 |
Release | : 2010-11-04 |
Genre | : Mathematics |
ISBN | : 3642165443 |
Download Bioinspired Computation in Combinatorial Optimization Book in PDF, Epub and Kindle
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 |
Total Pages | : 345 |
Release | : 2018-05-11 |
Genre | : Computers |
ISBN | : 3319916416 |
Download Bioinspired Optimization Methods and Their Applications Book in PDF, Epub and Kindle
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 | : Aleksandra Swiercz |
Publisher | : |
Total Pages | : |
Release | : 2017 |
Genre | : Computers |
ISBN | : |
Download Hyper-Heuristics and Metaheuristics for Selected Bio-Inspired Combinatorial Optimization Problems Book in PDF, Epub and Kindle
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 | : Farouk Yalaoui |
Publisher | : Springer Nature |
Total Pages | : 444 |
Release | : 2020-12-15 |
Genre | : Technology & Engineering |
ISBN | : 3030589307 |
Download Heuristics for Optimization and Learning Book in PDF, Epub and Kindle
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 | : Stephan Olariu |
Publisher | : CRC Press |
Total Pages | : 684 |
Release | : 2005-09-29 |
Genre | : Computers |
ISBN | : 1420035061 |
Download Handbook of Bioinspired Algorithms and Applications Book in PDF, Epub and Kindle
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
Author | : Anuj Kumar |
Publisher | : Walter de Gruyter GmbH & Co KG |
Total Pages | : 202 |
Release | : 2022-01-19 |
Genre | : Computers |
ISBN | : 3110716216 |
Download Meta-heuristic Optimization Techniques Book in PDF, Epub and Kindle
This book offer a thorough overview of the most popular and researched meta-heuristic optimization techniques and nature inspired algorithms. Their wide applicability makes them a hot research topic and an efficient tool for the solution of complex optimization problems in various field of sciences, engineering and in numerous industries.
Author | : Frank Neumann |
Publisher | : Springer |
Total Pages | : 230 |
Release | : 2010-11-10 |
Genre | : |
ISBN | : 9783642165450 |
Download Bioinspired Computation in Combinatorial Optimization Book in PDF, Epub and Kindle
This book shows how runtime behavior can be analyzed in a rigorous way and for combinatorial optimization in particular. It presents well-known problems such as minimum spanning trees, shortest paths, maximum matching, and covering and scheduling problems.
Author | : Camilo Caraveo |
Publisher | : Springer |
Total Pages | : 57 |
Release | : 2018-12-30 |
Genre | : Technology & Engineering |
ISBN | : 3030055515 |
Download A New Bio-inspired Optimization Algorithm Based on the Self-defense Mechanism of Plants in Nature Book in PDF, Epub and Kindle
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.