000 03897nam a22005055i 4500
001 978-3-540-78985-7
003 DE-He213
005 20170628034851.0
007 cr nn 008mamaa
008 100301s2008 gw | s |||| 0|eng d
020 _a9783540789857
_9978-3-540-78985-7
024 7 _a10.1007/978-3-540-78985-7
_2doi
050 4 _aTA329-348
050 4 _aTA640-643
072 7 _aTBJ
_2bicssc
072 7 _aMAT003000
_2bisacsh
082 0 4 _a519
_223
100 1 _aXhafa, Fatos.
_eeditor.
245 1 0 _aMetaheuristics for Scheduling in Industrial and Manufacturing Applications
_h[electronic resource] /
_cedited by Fatos Xhafa, Ajith Abraham.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2008.
300 _aXXIV, 346 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Computational Intelligence,
_x1860-949X ;
_v128
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.
650 0 _aEngineering.
650 0 _aInformation systems.
650 0 _aArtificial intelligence.
650 0 _aEngineering mathematics.
650 1 4 _aEngineering.
650 2 4 _aAppl.Mathematics/Computational Methods of Engineering.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aInformation Systems Applications (incl.Internet).
700 1 _aAbraham, Ajith.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783540789840
830 0 _aStudies in Computational Intelligence,
_x1860-949X ;
_v128
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-540-78985-7
912 _aZDB-2-ENG
999 _c21874
_d21874