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008 150903s2008 gw | o |||| 0|eng d
020 _a9783540789857
_99783540789857
024 7 _a10.1007/9783540789857
_2doi
035 _avtls000351771
039 9 _a201509030930
_bVLOAD
_c201405060255
_dVLOAD
_y201402171145
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aTA329-348
100 1 _aXhafa, Fatos.
_eeditor.
_9313917
245 1 0 _aMetaheuristics for Scheduling in Industrial and Manufacturing Applications /
_cedited by Fatos Xhafa, Ajith Abraham.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2008.
300 _brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aStudies in Computational Intelligence,
_x1860-949X ;
_v128
500 _aSpringer eBooks
505 0 _aExact, Heuristic and Meta-heuristic Algorithms for Solving Shop Scheduling Problems -- Scatter Search Algorithms for Identical Parallel Machine Scheduling Problems -- On the Effectiveness of Particle Swarm Optimization and Variable Neighborhood Descent for the Continuous Flow-Shop Scheduling Problem -- A Dynamical Ant Colony Optimization with Heuristics for Scheduling Jobs on a Single Machine with a Common Due Date -- Deterministic Search Algorithm for Sequencing and Scheduling -- Sequential and Parallel Variable Neighborhood Search Algorithms for Job Shop Scheduling -- Solving Scheduling Problems by Evolutionary Algorithms for Graph Coloring Problem -- Heuristics and meta-heuristics for lot sizing and scheduling in the soft drinks industry: a comparison study -- Hybrid Heuristic Approaches for Scheduling in Reconfigurable Manufacturing Systems -- A Genetic Algorithm for Railway Scheduling Problems -- Modelling Process and Supply Chain Scheduling Using Hybrid Meta-heuristics -- Combining Simulation and Tabu Search for Oil-derivatives Pipeline Scheduling -- Particle Swarm Scheduling for Work-Flow Applications in Distributed Computing Environments.
520 _aDuring the past decades scheduling has been among the most studied optimization problems and it is still an active area of research! Scheduling appears in many areas of science, engineering and industry and takes different forms depending on the restrictions and optimization criteria of the operating environments. This book deals with the application of various novel metaheuristics in scheduling. Addressing the various issues of scheduling in industrial and manufacturing applications is the novelty of this edited volume. Important features include the detailed overview of the various novel metaheuristic scheduling approaches, excellent coverage of timely, advanced scheduling topics, state-of-the-art theoretical research and application developments and chapters authored by pioneers in the field. Academics, scientists as well as engineers engaged in research, development and scheduling will find the comprehensive coverage of this book invaluable.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aAbraham, Ajith.
_eeditor.
_9316139
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9783540789840
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-540-78985-7
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c298537
_d298537