Recent Advances In Evolutionary Computation For Combinatorial Optimization

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Recent Advances in Evolutionary Computation for Combinatorial Optimization

Author : Carlos Cotta
Publisher : Springer Science & Business Media
ISBN 13 : 3540708065
Total Pages : 362 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Recent Advances in Evolutionary Computation for Combinatorial Optimization by : Carlos Cotta

Download or read book Recent Advances in Evolutionary Computation for Combinatorial Optimization written by Carlos Cotta and published by Springer Science & Business Media. This book was released on 2008-08-26 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: This cutting-edge volume presents recent advances in the area of metaheuristic combinatorial optimisation, with a special focus on evolutionary computation methods. Moreover, it addresses local search methods and hybrid approaches.

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.

Recent Advances in Evolutionary Multi-objective Optimization

Author : Slim Bechikh
Publisher : Springer
ISBN 13 : 3319429787
Total Pages : 179 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Recent Advances in Evolutionary Multi-objective Optimization by : Slim Bechikh

Download or read book Recent Advances in Evolutionary Multi-objective Optimization written by Slim Bechikh and published by Springer. This book was released on 2016-08-09 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the most recent advances in the field of evolutionary multiobjective optimization. With the aim of drawing the attention of up-and coming scientists towards exciting prospects at the forefront of computational intelligence, the authors have made an effort to ensure that the ideas conveyed herein are accessible to the widest audience. The book begins with a summary of the basic concepts in multi-objective optimization. This is followed by brief discussions on various algorithms that have been proposed over the years for solving such problems, ranging from classical (mathematical) approaches to sophisticated evolutionary ones that are capable of seamlessly tackling practical challenges such as non-convexity, multi-modality, the presence of multiple constraints, etc. Thereafter, some of the key emerging aspects that are likely to shape future research directions in the field are presented. These include: optimization in dynamic environments, multi-objective bilevel programming, handling high dimensionality under many objectives, and evolutionary multitasking. In addition to theory and methodology, this book describes several real-world applications from various domains, which will expose the readers to the versatility of evolutionary multi-objective optimization.

Evolutionary Computation in Combinatorial Optimization

Author : Leslie Pérez Cáceres
Publisher : Springer Nature
ISBN 13 : 3031041488
Total Pages : 222 pages
Book Rating : 4.0/5 (31 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 2022-04-03 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 22nd European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2022, held as part of Evo*2022, in Madrid, Spain, during April 20-21, 2022, co-located with the Evo*2022 events: EvoMUSART, EvoApplications, and EuroGP. The 13 revised full papers presented in this book were carefully reviewed and selected from 28 submissions. They present recent theoretical and experimental advances in combinatorial optimization, evolutionary algorithms, and related research fields.

Evolutionary Computation in Combinatorial Optimization

Author : Bin Hu
Publisher : Springer
ISBN 13 : 3319554530
Total Pages : 249 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Evolutionary Computation in Combinatorial Optimization by : Bin Hu

Download or read book Evolutionary Computation in Combinatorial Optimization written by Bin Hu and published by Springer. This book was released on 2017-04-03 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 17th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2017, held in Amsterdam, The Netherlands, in April 2017, co-located with the Evo*2017 events EuroGP, EvoMUSART and EvoApplications. The 16 revised full papers presented were carefully reviewed and selected from 39 submissions. The papers cover both empirical and theoretical studies on a wide range of academic and real-world applications. The methods include evolutionary and memetic algorithms, large neighborhood search, estimation of distribution algorithms, beam search, ant colony optimization, hyper-heuristics and matheuristics. Applications include both traditional domains, such as knapsack problem, vehicle routing, scheduling problems and SAT; and newer domains such as the traveling thief problem, location planning for car-sharing systems and spacecraft trajectory optimization. Papers also study important concepts such as pseudo-backbones, phase transitions in local optima networks, and the analysis of operators. This wide range of topics makes the EvoCOP proceedings an important source for current research trends in combinatorial optimization.

Evolutionary Computation in Combinatorial Optimization

Author : Carlos Cotta
Publisher : Springer
ISBN 13 : 3642010091
Total Pages : 253 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. This book was released on 2009-04-10 with total page 253 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 : 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 : Thomas Stützle
Publisher : Springer Nature
ISBN 13 : 3031577124
Total Pages : 206 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Evolutionary Computation in Combinatorial Optimization by : Thomas Stützle

Download or read book Evolutionary Computation in Combinatorial Optimization written by Thomas Stützle and published by Springer Nature. This book was released on with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Evolutionary Computation in Combinatorial Optimization

Author : Martin Middendorf
Publisher : Springer
ISBN 13 : 3642371981
Total Pages : 284 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 284 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 : Peter Merz
Publisher : Springer
ISBN 13 : 3642203647
Total Pages : 263 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. This book was released on 2011-04-27 with total page 263 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 : Jin-Kao Hao
Publisher : Springer Science & Business Media
ISBN 13 : 3642291236
Total Pages : 280 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Evolutionary Computation in Combinatorial Optimization by : Jin-Kao Hao

Download or read book Evolutionary Computation in Combinatorial Optimization written by Jin-Kao Hao and published by Springer Science & Business Media. This book was released on 2012-03-28 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 12th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2012, held in Málaga, Spain, in April 2012, colocated with the Evo* 2012 events EuroGP, EvoBIO, EvoMUSART, and EvoApplications. . The 22 revised full papers presented were carefully reviewed and selected from 48 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 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 : Peter I. Cowling
Publisher : Springer
ISBN 13 : 364212139X
Total Pages : 290 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Evolutionary Computation in Combinatorial Optimization by : Peter I. Cowling

Download or read book Evolutionary Computation in Combinatorial Optimization written by Peter I. Cowling and published by Springer. This book was released on 2010-04-03 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 10th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2010, held in Instanbul, Turkey, in April 2010. The 24 revised full papers presented were carefully reviewed an 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 radomized adaptive search procedures, estimation of distribution algorithms and ant colony opitmization.

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.

Evolutionary Computation in Combinatorial Optimization

Author : Arnaud Liefooghe
Publisher : Springer
ISBN 13 : 3319774492
Total Pages : 203 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Evolutionary Computation in Combinatorial Optimization by : Arnaud Liefooghe

Download or read book Evolutionary Computation in Combinatorial Optimization written by Arnaud Liefooghe and published by Springer. This book was released on 2018-03-23 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 18th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2018, held in Parma, Italy, in April 2018, co-located with the Evo* 2018 events EuroGP, EvoMUSART and EvoApplications. The 12 revised full papers presented were carefully reviewed and selected from 37 submissions. The papers cover a wide spectrum of topics, ranging from the foundations of evolutionary computation algorithms and other search heuristics, to their accurate design and application to both single- and multi-objective combinatorial optimization problems. Fundamental and methodological aspects deal with runtime analysis, the structural properties of fitness landscapes, the study of metaheuristics core components, the clever design of their search principles, and their careful selection and configuration by means of automatic algorithm configuration and hyper-heuristics. Applications cover conventional academic domains such as NK landscapes, binary quadratic programming, traveling salesman, vehicle routing, or scheduling problems, and also include real-world domains in clustering, commercial districting and winner determination.

Bioinspired Computation in Combinatorial Optimization

Author : Frank Neumann
Publisher : Springer Science & Business Media
ISBN 13 : 3642165443
Total Pages : 215 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 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.

Evolutionary Computation in Combinatorial Optimization

Author : Luís Paquete
Publisher : Springer Nature
ISBN 13 : 3030436802
Total Pages : 244 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Evolutionary Computation in Combinatorial Optimization by : Luís Paquete

Download or read book Evolutionary Computation in Combinatorial Optimization written by Luís Paquete and published by Springer Nature. This book was released on 2020-04-09 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 20th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2020, held as part of Evo*2020, in Seville, Spain, in April 2020, co-located with the Evo*2020 events EuroGP, EvoMUSART and EvoApplications. The 14 full papers presented in this book were carefully reviewed and selected from 37 submissions. The papers cover a wide spectrum of topics, ranging from the foundations of evolutionary computation algorithms and other search heuristics, to their accurate design and application to combinatorial optimization problems.

New Achievements in Evolutionary Computation

Author : Peter Korosec
Publisher : BoD – Books on Demand
ISBN 13 : 9533070536
Total Pages : 330 pages
Book Rating : 4.5/5 (33 download)

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Book Synopsis New Achievements in Evolutionary Computation by : Peter Korosec

Download or read book New Achievements in Evolutionary Computation written by Peter Korosec and published by BoD – Books on Demand. This book was released on 2010-02-01 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evolutionary computation has been widely used in computer science for decades. Even though it started as far back as the 1960s with simulated evolution, the subject is still evolving. During this time, new metaheuristic optimization approaches, like evolutionary algorithms, genetic algorithms, swarm intelligence, etc., were being developed and new fields of usage in artificial intelligence, machine learning, combinatorial and numerical optimization, etc., were being explored. However, even with so much work done, novel research into new techniques and new areas of usage is far from over. This book presents some new theoretical as well as practical aspects of evolutionary computation. This book will be of great value to undergraduates, graduate students, researchers in computer science, and anyone else with an interest in learning about the latest developments in evolutionary computation.