本文選題：公路工程　切入點(diǎn)：模糊隨機(jī)規(guī)劃　出處：《蘭州交通大學(xué)》2017年碩士論文

【摘要】：近幾年來,我國對公路工程建設(shè)項(xiàng)目的投入大幅度增加,表明國家對公路項(xiàng)目的重視程度大幅度提升。前人對工程項(xiàng)目的研究主要是工期優(yōu)化,成本優(yōu)化或工期和成本綜合優(yōu)化的單目標(biāo)優(yōu)化類型。而近些年來,學(xué)者們將質(zhì)量考慮進(jìn)工程項(xiàng)目目標(biāo)優(yōu)化中,形成了三大目標(biāo)的綜合優(yōu)化。為了使項(xiàng)目的管理者在工程實(shí)施過程中能夠合理安排工序的持續(xù)時(shí)間,論文運(yùn)用不同于傳統(tǒng)多目標(biāo)優(yōu)化的方法,將公路工程優(yōu)化放置于更符合實(shí)際的模糊隨機(jī)環(huán)境下,運(yùn)用模糊隨機(jī)規(guī)劃,依次建立公路工程的工期優(yōu)化模型、工期-成本-質(zhì)量均衡優(yōu)化模型,從單目標(biāo)優(yōu)化過渡到多目標(biāo)優(yōu)化,并設(shè)計(jì)了相應(yīng)的混合智能算法求解模型。論文的主要內(nèi)容如下:首先,對模糊隨機(jī)環(huán)境下公路工程的工期進(jìn)行優(yōu)化,旨在建立合理的工期優(yōu)化模型,利用設(shè)計(jì)好的混合智能算法求出最佳的工序持續(xù)時(shí)間改變量。在這一部分,用三角模糊隨機(jī)變量代表工序在未受項(xiàng)目管理者影響時(shí)的正常持續(xù)時(shí)間,用決策變量表示工序在受到項(xiàng)目管理者影響時(shí)持續(xù)時(shí)間的改變量。以工期為目標(biāo)函數(shù),成本為約束條件,利用模糊隨機(jī)規(guī)劃理論建立了工期優(yōu)化的期望值模型、機(jī)會約束規(guī)劃模型和相關(guān)機(jī)會規(guī)劃模型,并設(shè)計(jì)了模糊隨機(jī)模擬和遺傳算法相結(jié)合的混合智能算法求解模型。其次,對模糊隨機(jī)環(huán)境下公路工程的工期、成本和質(zhì)量進(jìn)行均衡優(yōu)化,目的是建立合理的多目標(biāo)均衡優(yōu)化模型,并利用設(shè)計(jì)好的混合智能算法求出較優(yōu)的工序趕工時(shí)間。在這一部分,三角模糊隨機(jī)變量同樣代表工序在未受項(xiàng)目管理者影響時(shí)的正常持續(xù)時(shí)間,決策變量表示工序的趕工時(shí)間。根據(jù)項(xiàng)目實(shí)際管理情況,結(jié)合給定的假設(shè)條件,得出工程的工期函數(shù),總成本函數(shù)和總質(zhì)量函數(shù),從而利用模糊隨機(jī)規(guī)劃理論建立相關(guān)模型,并借助遺傳多目標(biāo)優(yōu)化方法,運(yùn)用基于Pareto排序的適值分配方法,設(shè)計(jì)出模糊隨機(jī)模擬和遺傳算法相結(jié)合的混合智能算法來求解模型。最后,給出算例1,分別建立公路工程在模糊隨機(jī)環(huán)境下工期優(yōu)化的三類模型。運(yùn)用混合智能算法進(jìn)行求解,得到工序持續(xù)時(shí)間的改變量,計(jì)算出相應(yīng)的工程工期,從而驗(yàn)證了所建模型的合理性和有效性。給出算例2,分別建立公路工程在模糊隨機(jī)環(huán)境下的多目標(biāo)均衡優(yōu)化的三類模型。運(yùn)用混合智能算法進(jìn)行求解,得到工序趕工時(shí)間的Pareto解集,計(jì)算出工程的工期、成本和質(zhì)量,從而驗(yàn)證所建模型的合理性和有效性。
[Abstract]:In recent years, the investment in highway construction projects in China has increased greatly, which indicates that the state attaches great importance to highway projects.Previous researches on engineering projects are mainly focused on time optimization, cost optimization or single objective optimization.In recent years, the quality has been taken into account in the optimization of project objectives, forming the comprehensive optimization of three goals.In order to make the project manager arrange the duration of working procedure reasonably in the process of project implementation, different from the traditional multi-objective optimization method, the highway engineering optimization is placed in a more realistic fuzzy random environment.By using fuzzy stochastic programming, the optimization model of highway engineering duration, the optimization model of time-cost and quality equilibrium are established in turn, and the transition from single-objective optimization to multi-objective optimization is achieved. The corresponding hybrid intelligent algorithm is designed to solve the model.The main contents of this paper are as follows: firstly, the paper optimizes the duration of highway engineering under fuzzy random environment, aiming at establishing a reasonable model of duration optimization, and using the designed hybrid intelligent algorithm to find out the best process duration change quantity.In this part, triangular fuzzy random variables are used to represent the normal duration of the process when it is not affected by the project manager, and the decision variable is used to represent the change amount of the process duration when the process is affected by the project manager.With time limit as objective function and cost as constraint condition, the expected value model, chance constrained programming model and related opportunity programming model of duration optimization are established by using fuzzy stochastic programming theory.A hybrid intelligent algorithm model combining fuzzy stochastic simulation and genetic algorithm is designed.Secondly, the construction period, cost and quality of highway engineering under fuzzy random environment are balanced and optimized. The purpose is to establish a reasonable multi-objective equilibrium optimization model, and to use the designed hybrid intelligent algorithm to find out the better working procedure rush time.In this part, triangular fuzzy random variables also represent the normal duration of the process without the influence of the project manager, and the decision variables represent the working time of the process.According to the actual management of the project, combined with the given assumptions, the project duration function, total cost function and total quality function are obtained, and the relevant models are established by using the fuzzy stochastic programming theory, and the genetic multi-objective optimization method is used.A hybrid intelligent algorithm combining fuzzy random simulation and genetic algorithm is designed to solve the model by using the adaptive value allocation method based on Pareto ranking.Finally, an example is given to establish three kinds of models of highway engineering duration optimization under fuzzy random environment.Using the hybrid intelligent algorithm to solve the problem, the change of the process duration is obtained, and the corresponding project duration is calculated, which verifies the rationality and validity of the model.In this paper, three kinds of models for multi-objective equilibrium optimization of highway engineering in fuzzy random environment are established.The Pareto solution set of the working procedure rush time is obtained by using the hybrid intelligent algorithm, and the time limit, cost and quality of the project are calculated, and the rationality and validity of the model are verified.
【學(xué)位授予單位】：蘭州交通大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：U412

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