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改進(jìn)PSO的多目標(biāo)約束項(xiàng)目進(jìn)度計(jì)劃問(wèn)題研究
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    摘要:

    在項(xiàng)目進(jìn)度計(jì)劃問(wèn)題的研究中，為實(shí)現(xiàn)在多執(zhí)行模式和多資源約束條件下，對(duì)項(xiàng)目活動(dòng)的執(zhí)行順序和執(zhí)行模式進(jìn)行合理安排的目標(biāo)，以使項(xiàng)目工期最短，建立了多目標(biāo)進(jìn)度計(jì)劃的目標(biāo)函數(shù)，確定了約束條件。結(jié)合微粒群算法求解該組合優(yōu)化問(wèn)題，并通過(guò)對(duì)標(biāo)準(zhǔn)微粒群算法的改進(jìn)，引入了交換子和交換序的概念，提高了算法的尋優(yōu)速度和尋優(yōu)能力，并結(jié)合具體的實(shí)例驗(yàn)證了改進(jìn)算法的有效性。

    Abstract:

    During the research of project scheduling problem, in order to achieve objective that included arranging the execution sequence of the activities and the execution mode reasonably, minimizing the project duration, an objective function of multi-objective scheduling was built and restriction conditions were defined. Then considering the specialty of this combinatorial optimization problem, the standard particle swarm optimization algorithm was improved, and a method presented the concepts of swap operator and swap sequence was designed for improving the optimizing speed and capacity of the algorithm. Finally the validity of such method has been proved with an example.

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劉明周,程曉梅,葛茂根,安蘇華,李輝.改進(jìn)PSO的多目標(biāo)約束項(xiàng)目進(jìn)度計(jì)劃問(wèn)題研究[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2008,39(2):134-138.[J]. Transactions of the Chinese Society for Agricultural Machinery,2008,39(2):134-138.

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