Bioinspired Computation In Combinatorial Optimization

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Bioinspired Computation in Combinatorial Optimization

Author : Frank Neumann
Publisher : Springer Science & Business Media
ISBN 13 : 3642165443
Total Pages : 216 pages
Book Rating : 4.6/5 (421 download)

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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 and published by Springer Science & Business Media. This book was released on 2010-11-04 with total page 216 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.

Bioinspired Computation in Combinatorial Optimization

Author : Frank Neumann
Publisher : Springer
ISBN 13 : 9783642165450
Total Pages : 230 pages
Book Rating : 4.1/5 (654 download)

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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 and published by Springer. This book was released on 2010-11-10 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Advances in Bio-inspired Computing for Combinatorial Optimization Problems

Author : Camelia-Mihaela Pintea
Publisher : Springer Science & Business Media
ISBN 13 : 3642401791
Total Pages : 189 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis Advances in Bio-inspired Computing for Combinatorial Optimization Problems by : Camelia-Mihaela Pintea

Download or read book Advances in Bio-inspired Computing for Combinatorial Optimization Problems written by Camelia-Mihaela Pintea and published by Springer Science & Business Media. This book was released on 2013-08-13 with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Advances in Bio-inspired Combinatorial Optimization Problems" illustrates several recent bio-inspired efficient algorithms for solving NP-hard problems. Theoretical bio-inspired concepts and models, in particular for agents, ants and virtual robots are described. Large-scale optimization problems, for example: the Generalized Traveling Salesman Problem and the Railway Traveling Salesman Problem, are solved and their results are discussed. Some of the main concepts and models described in this book are: inner rule to guide ant search - a recent model in ant optimization, heterogeneous sensitive ants; virtual sensitive robots; ant-based techniques for static and dynamic routing problems; stigmergic collaborative agents and learning sensitive agents. This monograph is useful for researchers, students and all people interested in the recent natural computing frameworks. The reader is presumed to have knowledge of combinatorial optimization, graph theory, algorithms and programming. The book should furthermore allow readers to acquire ideas, concepts and models to use and develop new software for solving complex real-life problems.

Handbook of Bioinspired Algorithms and Applications

Author : Stephan Olariu
Publisher : CRC Press
ISBN 13 : 1420035061
Total Pages : 704 pages
Book Rating : 4.4/5 (2 download)

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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 and published by CRC Press. This book was released on 2005-09-29 with total page 704 pages. 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

Bio-Inspired Computation in Telecommunications

Author : Xin-She Yang
Publisher : Morgan Kaufmann
ISBN 13 : 0128017430
Total Pages : 348 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Bio-Inspired Computation in Telecommunications by : Xin-She Yang

Download or read book Bio-Inspired Computation in Telecommunications written by Xin-She Yang and published by Morgan Kaufmann. This book was released on 2015-02-11 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bio-inspired computation, especially those based on swarm intelligence, has become increasingly popular in the last decade. Bio-Inspired Computation in Telecommunications reviews the latest developments in bio-inspired computation from both theory and application as they relate to telecommunications and image processing, providing a complete resource that analyzes and discusses the latest and future trends in research directions. Written by recognized experts, this is a must-have guide for researchers, telecommunication engineers, computer scientists and PhD students.

Evolutionary Computation in Combinatorial Optimization

Author : Peter Merz
Publisher : Springer Science & Business Media
ISBN 13 : 3642203639
Total Pages : 274 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Evolutionary Computation in Combinatorial Optimization by : Peter Merz

Download or read book Evolutionary Computation in Combinatorial Optimization written by Peter Merz and published by Springer Science & Business Media. This book was released on 2011-04-19 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 11th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2011, held in Torino, Italy, in April 2011. The 22 revised full papers presented were carefully reviewed and selected from 42 submissions. The papers present the latest research and discuss current developments and applications in metaheuristics - a paradigm to effectively solve difficult combinatorial optimization problems appearing in various industrial, economical, and scientific domains. Prominent examples of metaheuristics are evolutionary algorithms, simulated annealing, tabu search, scatter search, memetic algorithms, variable neighborhood search, iterated local search, greedy randomized adaptive search procedures, estimation of distribution algorithms, and ant colony optimization.

Evolutionary Computation in Combinatorial Optimization

Author : Carlos Cotta
Publisher : Springer Science & Business Media
ISBN 13 : 3642010083
Total Pages : 264 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Evolutionary Computation in Combinatorial Optimization by : Carlos Cotta

Download or read book Evolutionary Computation in Combinatorial Optimization written by Carlos Cotta and published by Springer Science & Business Media. This book was released on 2009-04-02 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 9th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2009, held in Tübingen, Germany, in April 2009. The 21 revised full papers presented were carefully reviewed and selected from 53 submissions. The papers present the latest research and discuss current developments and applications in metaheuristics - a paradigm to effectively solve difficult combinatorial optimization problems appearing in various industrial, economical, and scientific domains. Prominent examples of metaheuristics are evolutionary algorithms, simulated annealing, tabu search, scatter search, memetic algorithms, variable neighborhood search, iterated local search, greedy randomized adaptive search procedures, estimation of distribution algorithms and ant colony optimization.

Evolutionary Computation in Combinatorial Optimization

Author : Christine Zarges
Publisher : Springer Nature
ISBN 13 : 3030729044
Total Pages : 249 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Evolutionary Computation in Combinatorial Optimization by : Christine Zarges

Download or read book Evolutionary Computation in Combinatorial Optimization written by Christine Zarges and published by Springer Nature. This book was released on 2021-03-26 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 21st European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2021, held as part of Evo*2021, as Virtual Event, in April 2021, co-located with the Evo*2021 events: EvoMUSART, EvoApplications, and EuroGP. The 14 revised full papers presented in this book were carefully reviewed and selected from 42 submissions. They cover a wide spectrum of topics, ranging from the foundations of evolutionary algorithms and other search heuristics to their accurate design and application to combinatorial optimization problems. Fundamental and methodological aspects deal with runtime analysis, the structural properties of fitness landscapes, the study of core components of metaheuristics, the clever design of their search principles, and their careful selection and configuration. Applications cover problem domains such as scheduling, routing, search-based software engineering and general graph problems. The range of topics covered in this volume reflects the current state of research in the fields of evolutionary computation and combinatorial optimization.

Evolutionary Computation in Combinatorial Optimization

Author : Leslie Pérez Cáceres
Publisher : Springer Nature
ISBN 13 : 3031300351
Total Pages : 258 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Evolutionary Computation in Combinatorial Optimization by : Leslie Pérez Cáceres

Download or read book Evolutionary Computation in Combinatorial Optimization written by Leslie Pérez Cáceres and published by Springer Nature. This book was released on 2023-03-30 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 23rd European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2023, held as part of Evo*2023, in Brno, Czech Republic in April 2023, co-located with the Evo*2023 events: EvoMUSART, EvoApplications, and EuroGP. The 15 revised full papers presented in this book were carefully reviewed and selected from 32 submissions. They present recent theoretical and experimental advances in combinatorial optimization, evolutionary algorithms, and related research fields.

Evolutionary Computation in Combinatorial Optimization

Author : Jens Gottlieb
Publisher : Springer Science & Business Media
ISBN 13 : 3540213678
Total Pages : 252 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Evolutionary Computation in Combinatorial Optimization by : Jens Gottlieb

Download or read book Evolutionary Computation in Combinatorial Optimization written by Jens Gottlieb and published by Springer Science & Business Media. This book was released on 2004-03-26 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings for the 4th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2004, held in Coimbra, Portugal, in April together with EuroGP 2004 and six workshops on evolutionary computing. The 23 revised full papers presented were carefully reviewed and selected from 86 submissions. Among the topics addressed are evolutionary algorithms as well as metaheuristics like memetic algorithms, ant colony optimization, and scatter search; the papers are dealing with representations, operators, search spaces, adaptation, comparison of algorithms, hybridization of different methods, and theory. Among the combinatorial optimization problems studied are graph coloring, network design, cutting, packing, scheduling, timetabling, traveling salesman, vehicle routing, and various other real-world applications.

Biogeography-Based Optimization: Algorithms and Applications

Author : Yujun Zheng
Publisher : Springer
ISBN 13 : 9811325863
Total Pages : 221 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Biogeography-Based Optimization: Algorithms and Applications by : Yujun Zheng

Download or read book Biogeography-Based Optimization: Algorithms and Applications written by Yujun Zheng and published by Springer. This book was released on 2018-09-14 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces readers to the background, general framework, main operators, and other basic characteristics of biogeography-based optimization (BBO), which is an emerging branch of bio-inspired computation. In particular, the book presents the authors’ recent work on improved variants of BBO, hybridization of BBO with other algorithms, and the application of BBO to a variety of domains including transportation, image processing, and neural network learning. The content will help to advance research into and application of not only BBO but also the whole field of bio-inspired computation. The algorithms and applications are organized in a step-by-step manner and clearly described with the help of pseudo-codes and flowcharts. The readers will learn not only the basic concepts of BBO but also how to apply and adapt the algorithms to the engineering optimization problems they actually encounter.

Evolutionary Computation in Combinatorial Optimization

Author : Gabriela Ochoa
Publisher : Springer
ISBN 13 : 3319164686
Total Pages : 235 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Evolutionary Computation in Combinatorial Optimization by : Gabriela Ochoa

Download or read book Evolutionary Computation in Combinatorial Optimization written by Gabriela Ochoa and published by Springer. This book was released on 2015-03-14 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 15th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2015, held in Copenhagen, Denmark, in April 2015, co-located with the Evo*2015 events EuroGP, EvoMUSART and EvoApplications. The 19 revised full papers presented were carefully reviewed and selected from 46 submissions. The papers cover methodology, applications and theoretical studies. The methods included evolutionary and memetic (hybrid) algorithms, iterated local search, variable neighbourhood search, ant colony optimization, artificial immune systems, hyper-heuristics and other adaptive approaches. The applications include both traditional domains, such as graph coloring, knapsack, vehicle routing, job-shop scheduling, the p-median and the orienteering problems; and new(er) domains such as designing deep recurrent neural networks, detecting network community structure, lock scheduling of ships, cloud resource management, the fire-fighter problem and AI planning. The theoretical studies involved approximation ratio, runtime and black-box complexity analyses.

Evolutionary Computation in Combinatorial Optimization

Author : Jano van Hemert
Publisher : Springer Science & Business Media
ISBN 13 : 3540786031
Total Pages : 300 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Evolutionary Computation in Combinatorial Optimization by : Jano van Hemert

Download or read book Evolutionary Computation in Combinatorial Optimization written by Jano van Hemert and published by Springer Science & Business Media. This book was released on 2008-03-14 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 8th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2008, held in Naples, Italy, in March 2008. The 24 revised full papers presented were carefully reviewed and selected from 69 submissions. The papers present the latest research and discuss current developments and applications in metaheuristics - a paradigm to effectively solve difficult combinatorial optimization problems appearing in various industrial, economical, and scientific domains. Prominent examples of metaheuristics are evolutionary algorithms, simulated annealing, tabu search, scatter search, memetic algorithms, variable neighborhood search, iterated local search, greedy randomized adaptive search procedures, estimation of distribution algorithms and ant colony optimization.

Evolutionary Computation in Combinatorial Optimization

Author : Jens Gottlieb
Publisher : Springer Science & Business Media
ISBN 13 : 3540253378
Total Pages : 282 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Evolutionary Computation in Combinatorial Optimization by : Jens Gottlieb

Download or read book Evolutionary Computation in Combinatorial Optimization written by Jens Gottlieb and published by Springer Science & Business Media. This book was released on 2005-03-21 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2005, held in Lausanne, Switzerland in March/April 2005. The 24 revised full papers presented were carefully reviewed and selected from 66 submissions. The papers cover evolutionary algorithms as well as related approaches like scatter search, simulated annealing, ant colony optimization, immune algorithms, variable neighborhood search, hyperheuristics, and estimation of distribution algorithms. The papers deal with representations, analysis of operators and fitness landscapes, and comparison algorithms. Among the combinatorial optimization problems studied are graph coloring, quadratic assignment, knapsack, graph matching, packing, scheduling, timetabling, lot-sizing, and the traveling salesman problem.

Multi-Objective Combinatorial Optimization Problems and Solution Methods

Author : Mehdi Toloo
Publisher : Academic Press
ISBN 13 : 0128238003
Total Pages : 316 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Multi-Objective Combinatorial Optimization Problems and Solution Methods by : Mehdi Toloo

Download or read book Multi-Objective Combinatorial Optimization Problems and Solution Methods written by Mehdi Toloo and published by Academic Press. This book was released on 2022-02-09 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multi-Objective Combinatorial Optimization Problems and Solution Methods discusses the results of a recent multi-objective combinatorial optimization achievement that considered metaheuristic, mathematical programming, heuristic, hyper heuristic and hybrid approaches. In other words, the book presents various multi-objective combinatorial optimization issues that may benefit from different methods in theory and practice. Combinatorial optimization problems appear in a wide range of applications in operations research, engineering, biological sciences and computer science, hence many optimization approaches have been developed that link the discrete universe to the continuous universe through geometric, analytic and algebraic techniques. This book covers this important topic as computational optimization has become increasingly popular as design optimization and its applications in engineering and industry have become ever more important due to more stringent design requirements in modern engineering practice. Presents a collection of the most up-to-date research, providing a complete overview of multi-objective combinatorial optimization problems and applications Introduces new approaches to handle different engineering and science problems, providing the field with a collection of related research not already covered in the primary literature Demonstrates the efficiency and power of the various algorithms, problems and solutions, including numerous examples that illustrate concepts and algorithms

Evolutionary Computation in Combinatorial Optimization

Author : Martin Middendorf
Publisher : Springer
ISBN 13 : 3642371981
Total Pages : 275 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Evolutionary Computation in Combinatorial Optimization by : Martin Middendorf

Download or read book Evolutionary Computation in Combinatorial Optimization written by Martin Middendorf and published by Springer. This book was released on 2013-03-12 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 13th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2013, held in Vienna, Austria, in April 2013, colocated with the Evo* 2013 events EuroGP, EvoBIO, EvoMUSART, and EvoApplications. The 23 revised full papers presented were carefully reviewed and selected from 50 submissions. The papers present the latest research and discuss current developments and applications in metaheuristics - a paradigm to effectively solve difficult combinatorial optimization problems appearing in various industrial, economic, and scientific domains. Prominent examples of metaheuristics are ant colony optimization, evolutionary algorithms, greedy randomized adaptive search procedures, iterated local search, simulated annealing, tabu search, and variable neighborhood search. Applications include scheduling, timetabling, network design, transportation and distribution, vehicle routing, the travelling salesman problem, packing and cutting, satisfiability, and general mixed integer programming.

Evolutionary Computation in Combinatorial Optimization

Author : Carlos Cotta
Publisher : Springer
ISBN 13 : 3540716157
Total Pages : 244 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Evolutionary Computation in Combinatorial Optimization by : Carlos Cotta

Download or read book Evolutionary Computation in Combinatorial Optimization written by Carlos Cotta and published by Springer. This book was released on 2007-04-19 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 7th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2007, held in Valencia, Spain in April 2007. The 21 revised full papers cover evolutionary algorithms as well as various other metaheuristics, like scatter search, tabu search, memetic algorithms, variable neighborhood search, ant colony optimization, and particle swarm optimization algorithms.