Evolutionary Computation in Combinatorial Optimization

Metaheuristics have been shown to be e?ective for di?cult combinatorial - timization problems appearing in various industrial, economical, and scienti?c domains. Prominent examples of metaheuristics are evolutionary algorithms, tabu search, simulated annealing, scatter search, memetic algorithms, va...

Full description

Saved in:
Bibliographic Details
Other Authors: Hemer, Jano van
Format: Book
Language:English
Published: Springer 2017
Subjects:
Online Access:http://repository.vnu.edu.vn/handle/VNU_123/26247
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Vietnam National University, Hanoi
Language: English
id oai:112.137.131.14:VNU_123-26247
record_format dspace
spelling oai:112.137.131.14:VNU_123-262472020-06-22T03:26:17Z Evolutionary Computation in Combinatorial Optimization Hemer, Jano van Cotta, Carlos Computer Science ; Evolutionary computation 519.3 Metaheuristics have been shown to be e?ective for di?cult combinatorial - timization problems appearing in various industrial, economical, and scienti?c domains. Prominent examples of metaheuristics are evolutionary algorithms, tabu search, simulated annealing, scatter search, memetic algorithms, variable neighborhood search, iterated local search, greedy randomized adaptive search procedures, ant colony optimization and estimation of distribution algorithms. Problems solved successfully include scheduling, timetabling, network design, transportation and distribution, vehicle routing, the travelling salesman pr- lem, packing and cutting, satis?ability and general mixed integer programming. EvoCOPbeganin2001andhasbeenheldannuallysincethen.Itwasthe?rst event speci?cally dedicated to the application of evolutionary computation and related methods to combinatorial optimization problems. Originally held as a workshop,EvoCOPbecameaconferencein2004.Theeventsgaveresearchersan excellent opportunity to present their latest research and to discuss current - velopments and applications. Following the general trend of hybrid metaheur- tics and diminishing boundaries between the di?erent classes of metaheuristics, EvoCOP has broadened its scope over the last years and invited submissions on any kind of metaheuristic for combinatorial optimization. 2017-04-11T08:01:40Z 2017-04-11T08:01:40Z 2008 Book 978-3-540-78603-0 http://repository.vnu.edu.vn/handle/VNU_123/26247 en 300 p. application/pdf Springer
institution Vietnam National University, Hanoi
building VNU Library & Information Center
country Vietnam
collection VNU Digital Repository
language English
topic Computer Science ; Evolutionary computation
519.3
spellingShingle Computer Science ; Evolutionary computation
519.3
Evolutionary Computation in Combinatorial Optimization
description Metaheuristics have been shown to be e?ective for di?cult combinatorial - timization problems appearing in various industrial, economical, and scienti?c domains. Prominent examples of metaheuristics are evolutionary algorithms, tabu search, simulated annealing, scatter search, memetic algorithms, variable neighborhood search, iterated local search, greedy randomized adaptive search procedures, ant colony optimization and estimation of distribution algorithms. Problems solved successfully include scheduling, timetabling, network design, transportation and distribution, vehicle routing, the travelling salesman pr- lem, packing and cutting, satis?ability and general mixed integer programming. EvoCOPbeganin2001andhasbeenheldannuallysincethen.Itwasthe?rst event speci?cally dedicated to the application of evolutionary computation and related methods to combinatorial optimization problems. Originally held as a workshop,EvoCOPbecameaconferencein2004.Theeventsgaveresearchersan excellent opportunity to present their latest research and to discuss current - velopments and applications. Following the general trend of hybrid metaheur- tics and diminishing boundaries between the di?erent classes of metaheuristics, EvoCOP has broadened its scope over the last years and invited submissions on any kind of metaheuristic for combinatorial optimization.
author2 Hemer, Jano van
author_facet Hemer, Jano van
format Book
title Evolutionary Computation in Combinatorial Optimization
title_short Evolutionary Computation in Combinatorial Optimization
title_full Evolutionary Computation in Combinatorial Optimization
title_fullStr Evolutionary Computation in Combinatorial Optimization
title_full_unstemmed Evolutionary Computation in Combinatorial Optimization
title_sort evolutionary computation in combinatorial optimization
publisher Springer
publishDate 2017
url http://repository.vnu.edu.vn/handle/VNU_123/26247
_version_ 1680968552750776320