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激素調(diào)節(jié)機制IAGA在作業(yè)車間調(diào)度中的應(yīng)用
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-shop Scheduling Problem Based on Improved Adaptive Genetic Algorithm with Hormone Modulation Mechanism
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    摘要:

    針對離散型生產(chǎn)作業(yè)中的車間調(diào)度問題,，以最大流程時間最小化為目標(biāo)，將基于激素調(diào)節(jié)機制的改進型自適應(yīng)遺傳算法應(yīng)用其中,。該算法具有有效避免近親繁殖,、無需復(fù)制操作,、有效克服早熟現(xiàn)象和進化緩慢問題等特點,。算法采用基于工序的編碼方式,，并在調(diào)度實例應(yīng)用中取得滿意效果,。仿真結(jié)果表明：該算法大幅度減少了調(diào)度方案生成時間，優(yōu)化了調(diào)度方案,，縮減了最小化完工時間,，能夠有效、高質(zhì)量地解決作業(yè)車間調(diào)度問題,。

    Abstract:

    Aiming at job-shop scheduling problem with a view of minimizing the maximal makespan, an improved adaptive genetic algorithm based on hormone modulation mechanism was employed. This algorithm has such characteristics as avoiding inbreeding efficiently, no needing reproductive operation, overcoming premature phenomenon and slow evolution. An operation-based code was applied to job-shop scheduling problems along with the satisfied results. Numerical simulation demonstrated that within the framework of the newly designed improved adaptive genetic algorithm based on hormone modulation mechanism, the needed time for new optimal scheduling project and the minimal makespan were decreased, therefore the NP-hard job-shop scheduling problem can be solved efficiently.

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王雷,唐敦兵,萬敏,許美健,袁偉東.激素調(diào)節(jié)機制IAGA在作業(yè)車間調(diào)度中的應(yīng)用[J].農(nóng)業(yè)機械學(xué)報,2009,40(10):199-202.-shop Scheduling Problem Based on Improved Adaptive Genetic Algorithm with Hormone Modulation Mechanism[J]. Transactions of the Chinese Society for Agricultural Machinery,2009,40(10):199-202.

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