ChineseJournalofElectronicsVol.20,No.2,Apr.2011TheWolfColonyAlgorithmandItsApplication∗LIUChangan,YANXiaohu,LIUChunyangandWUHua(SchoolofControlandComputerEngineering,NorthChinaElectricPowerUniversity,Beijing102206,China)Abstract—Thepaperproposesthewolfcolonyalgo-thequarry.Whensearchingwolvesdiscoverthequarry,theyrithmthatsimulatestheintelligentpredatorybehaviorsofnotifythepositionofthequarrytotheotherartificialwolvesthewolfcolonytosolvetheoptimizationproblem.Thebyhowl.Theotherartificialwolvesgetclosetothequarrysolutioninthesearchingspaceistheartificialwolfintheandbesiegeit.Thewolfcolonyisupdatedaccordingtothealgorithm.Afewartificialwolvesareassignedtosearchingintheactivityrangeofthequarry.Whenthesearchingar-assignmentruleofthewolfcolony.tificialwolvesdiscoverthequarry,theynotifythepositionTherestofthispaperisorganizedasfollows:InSectionII,ofthequarrytotheotherartificialwolvesbyhowl.Thethewolfcolonyalgorithmisintroduced.SectionIIIdiscussesotherartificialwolvesgetclosetothequarryandbesiegetheperformanceofWCAaccordingtothefunctionoptimiza-it.Thewolfcolonyisupdatedaccordingtotheassignmenttionproblem.SectionIVusesWCAtoplantheoptimalpathruleofthewolfcolony.TheperformanceofwolfcolonyformobilerobottoprovethegoodgeneralizationofWCA.algorithmisdiscussedaccordingtothefunctionoptimiza-tionproblem.Toprovethegoodgeneralization,thewolfFinally,conclusionsaresummarizedinSectionV.colonyalgorithmisusedtoplantheoptimalpathforthemobilerobot.TheresultsprovethatthepathplanningII.TheWolfColonyAlgorithmmethodbasedonthewolfcolonyalgorithmisviableandefficient.ItwasfoundthatthewolfcolonyhasarigorousorganizedKeywords—Wolfcolonyalgorithm,Optimizationsystem.Thewolvesdividethetaskdefinitelyandkeeptheirproblem,Mobilerobot,Pathplanning.stepsconsistentwhentheyarepreying.Afewartificialwolvesareassignedtosearchingintheactivityrangeofthequarry.Whenthesearchingwolvesdiscoverthequarry,theynotifytheI.Introductionpositionofthequarrytotheotherartificialwolvesbyhowl.Optimizationproblemisth