TY  - BOOK
AU  - Cowling,Peter
AU  - Merz,Peter
ED  - SpringerLink (Online service)
TI  - Evolutionary Computation in Combinatorial Optimization: 10th European Conference, EvoCOP 2010, Istanbul, Turkey, April 7-9, 2010. Proceedings 
T2  - Lecture Notes in Computer Science,
SN  - 9783642121395
AV  - QA76.9.A43 
U1  - 005.1 23
PY  - 2010///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg
KW  - Computer science
KW  - Computer software
KW  - Computational complexity
KW  - Computer vision
KW  - Optical pattern recognition
KW  - Computer Science
KW  - Algorithm Analysis and Problem Complexity
KW  - Computation by Abstract Devices
KW  - Pattern Recognition
KW  - Image Processing and Computer Vision
KW  - Discrete Mathematics in Computer Science
N1  - Dual Sequence Simulated Annealing with Round-Robin Approach for University Course Timetabling -- Heuristic and Exact Methods for the Discrete (r
N2  - Metaheuristicscontinuetodemonstratetheire?ectivenessforanever-broadening range of di?cult combinatorial optimization problems appearing in a wide - riety of industrial, economic, 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,networkdesign,transportationanddistribution,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,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, EvoCOPhas broadenedits scope in recent years and invited submissions on any kind of metaheuristic for combinatorial optimization
UR  - http://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-642-12139-5
ER  -