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Evolutionary Computation in Combinatorial Optimization - 9th European Conference, EvoCOP 2009, Tubingen, Germany, April 15-17, 2009, Proceedings (Paperback, 2009 ed.)
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Evolutionary Computation in Combinatorial Optimization - 9th European Conference, EvoCOP 2009, Tubingen, Germany, April 15-17, 2009, Proceedings (Paperback, 2009 ed.)
Series: Theoretical Computer Science and General Issues, 5482
Expected to ship within 10 - 15 working days
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Metaheuristics have been shown to be e?ective for di?cult
combinatorial op- mization problems appearing in a wide variety of
industrial, economic, and sci- ti?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 problem,
packing and cutting, satis?ability, and general mixed integer
programming. EvoCOP began in 2001 and has been held annually since
then. It is the ?rst event speci?cally dedicated to the application
of evolutionary computation and related methods to combinatorial
optimization problems. Originally held as a workshop, EvoCOP became
a conference in 2004. The events gave researchers an 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
in recent years and invited submissions on any kind of
metaheuristic for combinatorial optimization.
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