摘要
随着近些年学科交叉的不断深入，桥梁工程也愈加重视工程质量、工程投资以及工程工期之间的内在联系，引入智能算法来实现桥梁工程项目的最优化管理是新一轮的目标。在传统的粒子群优化基础上引入遗传免疫算子，依靠遗传算子本身具有交叉性以及变异性的特点，实现部落粒子群个体自适应遗传，减少个体自身陷入局部最优解概率，保证全局最优收敛速率，并结合桥梁工程项目自身大体量等特点，对项目的工程质量、工程投资以及工程工期进行定量分层描述设定其约束方程，最终实现桥梁工程项目管理多目标优化目的。
Abstract
Withthedeepeningofthedisciplineoverlappinginrecentyears,bridgeengineeringisalsopaymoreandmoreattentiontotheinnerlinkbetweenprojectquality,projectinvestmentandconstructionperiod.Introduceintelligentalgorithmtorealizetheoptimizationoftheprojectmanagementisanewgoal.Basedonthetraditionalparticleswarmoptimizationintroducingthegeneticimmuneoperator,relyongeneticoperatorsitselfhasthecharacteristicsofoverlappingandvariability,implementadaptivegeneticparticleswarmindividualtribes,reducetheprobabilityoftheindividualitselftolocaloptimalsolution,guaranteetheglobaloptimalconvergencerate,andcombinedwithbridgeproject‘slargescalefeature,thequalityofprojectengineering,projectinvestmentandconstructionperiodlayeredquantitativelydescribetosettheconstraintequation,finallyrealizesthebridgeengineeringprojectmanagementmulti-objectiveoptimizationpurpose.
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