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基于Agent的同類機(jī)智能調(diào)度算法
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Agent-based Intelligent Algorithm for Uniform Parallel Machine Scheduling Problem
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    摘要:

    研究了目標(biāo)函數(shù)是最小化最大完成時(shí)間的同類機(jī)調(diào)度問題,，且作業(yè)到達(dá)時(shí)間可能不同,。此問題被證明是NP-hard問題,。為此問題構(gòu)建了一個(gè)基于Agent的智能調(diào)度算法ABH,，使得機(jī)器具有一定的智能性，從而實(shí)現(xiàn)工廠調(diào)度的自動(dòng)化。給出了用于調(diào)度的兩類Agent的語義描述,，進(jìn)而給出ABH算法描述。大量隨機(jī)數(shù)據(jù)實(shí)驗(yàn)結(jié)果表明,，ABH算法性能明顯優(yōu)越于現(xiàn)有算法,，其相對(duì)于最優(yōu)解的平均誤差收斂達(dá)

    Abstract:

    0.084%。 A uniform parallel machine scheduling problem with release dates to minimize makespan was considered. This problem is at least NP-hard. Algorithm ABH, which was an intelligent scheduling algorithm based on Agent technology in order to realize the manufacturing scheduling process robotized by means of the intelligence of machine, has been developed for the problem. Semantic description of two kinds to the Agent was given. The results and analysis of quite extensive computational experiments were reported and discussed, and ABH algorithm is superior to the existing algorithms, and its average relative error is less than 0.084%. 

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李凱,左春榮,任明侖.基于Agent的同類機(jī)智能調(diào)度算法[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2009,40(2):184-189. Agent-based Intelligent Algorithm for Uniform Parallel Machine Scheduling Problem[J]. Transactions of the Chinese Society for Agricultural Machinery,2009,40(2):184-189.

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