000 03753nam a22004935i 4500
001 978-3-642-39304-4
003 DE-He213
005 20200421111205.0
007 cr nn 008mamaa
008 130712s2013 gw | s |||| 0|eng d
020 _a9783642393044
_9978-3-642-39304-4
024 7 _a10.1007/978-3-642-39304-4
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
245 1 0 _aAutomated Scheduling and Planning
_h[electronic resource] :
_bFrom Theory to Practice /
_cedited by A. Sima Uyar, Ender Ozcan, Neil Urquhart.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2013.
300 _aXVI, 304 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 ;
_v505
505 0 _aAirport Airside Optimisation Problems(Atkin) -- Instruction Scheduling in Microprocessors(Kucuk Guney and Ponomarev) -- Sports Scheduling: Minimizing Travel for English Football Supporters (Kendall and Westphal) -- Educational Timetabling (Kingston) -- Automated Shift Design and Break Scheduling (Gaspero, Gartner, Musliu, Schaerf,Schafhauser, and Slany) -- Nurse Rostering: a Complex Example of Personnel Scheduling with Perspectives (Smet, Causmaecker, Bilgin and Vanden Berghe) -- Radiotherapy Scheduling (Petrovic, Castro, Petrovic and Kapamara) -- Recent Advances in Evolutionary Algorithms for Job Shop Scheduling (Akay and Yao) -- Multi-objective Grid Scheduling (Arsuaga-Rios and Vega-Rodriguez) -- A Dynamic Multi-objective Job Shop Scheduling: A Genetic Programming Approach (Nguyen, Zhang, Johnston, and Tan) -- Dynamic Vehicle Routing: A Memetic Ant Colony Optimization approach (Michalis Mavrovouniotis and Shengxiang Yang).
520 _a  Solving scheduling problems has long presented a challenge for computer scientists and operations researchers. The field continues to expand as researchers and practitioners examine ever more challenging problems and develop automated methods capable of solving them. This book provides 11 case studies in automated scheduling, submitted by leading researchers from across the world. Each case study examines a challenging real-world problem by analysing the problem in detail before investigating how the problem may be solved using state of the art techniques.The areas covered include aircraft scheduling, microprocessor instruction scheduling, sports fixture scheduling, exam scheduling, personnel scheduling and production scheduling.  Problem solving methodologies covered include exact as well as (meta)heuristic approaches, such as local search techniques, linear programming, genetic algorithms and ant colony optimisation.The field of automated scheduling has the potential to impact many aspects of our lives and work; this book highlights contributions to the field by world class researchers.    .
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 0 _aComputational intelligence.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aArtificial Intelligence (incl. Robotics).
700 1 _aUyar, A. Sima.
_eeditor.
700 1 _aOzcan, Ender.
_eeditor.
700 1 _aUrquhart, Neil.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642393037
830 0 _aStudies in Computational Intelligence,
_x1860-949X ;
_v505
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-39304-4
912 _aZDB-2-ENG
942 _cEBK
999 _c54075
_d54075