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...
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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 |
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Computer Science ; Evolutionary computation 519.3 |
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Computer Science ; Evolutionary computation 519.3 Evolutionary Computation in Combinatorial Optimization |
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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 |