Intelligent Scheduling Systems

Schedulingisaresourceallocationproblemwhichexistsinvirtuallyeverytypeoforganization.Schedulingproblemshaveproducedroughly40yearsofresearchprimarilywithintheORcommunity.Thiscommunityhastraditionallyemphasizedmathematicalmodelingtechniqueswhichseekexactsolutionstowellformulatedoptimizationproblems.Whilethisapproachproducedimportantresults，manycontemporaryschedulingproblemsareparticularlydifficult.Hence，overthelasttenyearsoperationsresearchersinterestedinschedulinghaveturnedincreasinglytomorecomputerintensiveandheuristicapproaches.Atroughlythesametime，researchersinAIbegantofocustheirmethodsonindustrialandmanagementscienceapplications.Theresultofthisconfluenceoffieldshasbeenaperiodofremarkablegrowthandexcitementinschedulingresearch.
IntelligentSchedulingSystemscapturestheresultsofanewwaveofresearchattheforefrontofschedulingresearch，ofinteresttoresearchersandpractitionersalike.Presentedareanarrayofthelatestcontemporarytools--mathmodelingtotabusearchtogeneticalgorithms--thatcanassistinoperationalschedulingandsolvedifficultschedulingproblems.Thebookpresentsthemostrecentresearchresultsfrombothoperationsresearch(OR)andartificialintelligence(AI)focusingtheireffortsonrealschedulingproblems.