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Programmed Cell Death Simulated Algorithm And Its Application In Steel Capacity Planning

Posted on:2015-01-22Degree:MasterType:Thesis
Country:ChinaCandidate:H J WangFull Text:PDF
GTID:2298330452965683Subject:Control Engineering
Abstract/Summary:PDF Full Text Request
Capacity planning is global optimization concerned Enterprise Resource Planning (ERP) to Enterprise Production Control, which is important to realize the connection between enterprise management and the actual production. The comprehensive, exact and valid capacity planning for steel is helpful to reduce adverse production, improve efficiency, reduce cost and enhance overall control. In recent years, national slower economic growth and adjustment of economic structure result in surplus of steel capacity planning, whose profit is less than1%. In addition, the haze fog have widely covers the east-central region time and time again since2013, which makes the steel industry standing in the breach. The relevant national pollution control policies can not be ignored. The effective guidance is urgently needed to compress capacity and lead steel capacity planning.In this paper, a solution to solve the problem of steel capacity planning is proposed by using the modified genetic algorithm of the programmed cell death. The genetic algorithm is first described. In order to avoid the drawback of premature convergence, the modified genetic algorithm is developed based on the theory of the programmed cell death. The fitness function, genes ced-3, ced-4and ced-9are discussed to control the death of cells and to increase the diversity of gene pool. The phenomenon of early-maturing is avoided and the globally optimal solution can be obtained. Meanwhile, in the simulation process of programmed cell death, the fitness function is divided into several sub-functions and the corresponding globally second-best solutions can be obtained.The theory of programmed cell death into the steel capacity planning is adopted in this paper to help the strategy makers to analyze the influence of many complicated factors and further make efficient strategies. Hence, the globally optimal solution and second-best solution of the practical production planning and project constructions should be evaluated before detailed design.Based on the problem of integrated optimization, the steel capacity planning of genetic algorithm of the programmed cell death is adopted. The results demonstrate the feasibility and globality for solving the problem of steel capacity planning by the algorithm of programmed cell death.
Keywords/Search Tags:capacity planning, steel, genetic algorithm, programmed cell death
PDF Full Text Request
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