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求解FPRM电路极性优化问题的改进多目标粒子群算法.docx

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求解FPRM电路极性优化问题的改进多目标粒子群算法 Abstract TheFPRMcircuitpolarizationoptimizationproblemisamulti-objectiveoptimizationproblem.Thispaperproposesanimprovedmulti-objectiveparticleswarmalgorithmtosolvetheFPRMcircuitpolarityoptimizationproblem.Firstly,thebasicprincipleandcharacteristicsoftheFPRMcircuitareintroduced.Secondly,themulti-objectiveoptimizationproblemandparticleswarmalgorithmarebrieflydescribed.Thirdly,theimprovementofthemulti-objectiveparticleswarmalgorithmincludesapplyinganewmechanismofadaptiveinertiaweightandmodifyingtheupdatingequationofthevelocityandmovablepositionintheparticleswarmalgorithm.Finally,thesimulationexperimentsontheFPRMcircuitunderdifferentinitializationmethodsandcomparedwithtraditionalparticleswarmalgorithmtoverifytheeffectivenessandreliabilityoftheproposedalgorithm. Keywords:FPRMcircuit,polarizationoptimization,multi-objectiveoptimization,particleswarmalgorithm Introduction FPRM(Feedbackresistivememory)circuitisanewtypeofassociativememorycircuitwhichusesoneormoreresistorstostoretheresistancevalueofthefeedbackcircuitasamemoryunit.Duetoitssimplestructure,lowpowerconsumption,fastswitchingspeed,non-volatileandhighintegration,ithasattractedextensiveattentioninmemorydesign,artificialneuralnetworks,andotherfields.ThepolarizationoptimizationoftheFPRMcircuitisanessentialstepinimprovingthememoryfunctionandoptimizationofthecircuit. ThepolarizationoptimizationoftheFPRMcircuitisamulti-objectiveoptimizationproblem.Polarizationoptimizationneedstofindouttheoptimalresistancevalueofthefeedbackcircuit,whichcanmakethestatevariableofthecircuitreachthelimitvaluequicklyandaccurately.Polarityoptimizationneedstoselectasuitabledirectionoftheresistorsinthefeedbackloopsothatthememoryretentiontimeislonger,thememorycapacityishigher,andtheenergyconsumptionislower.ThepolarizationandpolarityoptimizationobjectivesoftheFPRMcircuitaremutuallyinfluentialandconflicting,resultinginthedifficultyofobtainingasingleoptimalsolutionatthesametime. Particleswarmalgorithmisaswarmintelligenceoptim