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International Seminar on Business and Information Management (ISBIM 2008)

作者： Xu, T. J. Yang, P. Liu, Z. Q. Minist Educ Key Lab High Efficient Min Metall Ore Deposit Beijing 100083 Peoples R China Jinchengxin Min Construct Grp Co Ltd Beijing 100089 Peoples R China

ISBN: (纸本)9780769535609

In a time of digitalization and informationization for Mine enterprise, based on the complication of multiobjective ore blending planning and management, a question of fuzzy multi-objective ore blending is proposed. Then according to linguistic preference information and satisfying degree of decision maker, a fuzzy multi-objective optimization algorithm is designed. The algorithm effectively solves the difficulties in multi-objective decisions, such as difficult to quantify certain objectives and restrictions and to weigh decision objectives subjectively, and different dimensions of objectives. It has also the Characteristics of flexibility and sensitivity, which is verified through a application example of certain mine, it is a practical, great universal method or means for the mine ore blending planning and management.

关键词： multi-objective programming ore blending model fuzzy optimization algorithm satisfying degree ore blending

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Mine Ore Blending planning and management Based on the fuzzy Multi-objective optimization algorithm

Mine Ore Blending planning and management Based on the Fuzzy...

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2008 International Seminar on Business and Information Management

作者： T.J. Xu1 P. YANG1 1Key Lab of High Efficient Mining of Metallic Ore Deposit, Ministry of Education, Beijing, China, 100083 Z.Q. Liu2 2Jinchengxin Mining Construction Group Co. LTD, Haidian Distric, Beijing, China, 100089

关键词： multi-objective programming ore blending model fuzzy optimization algorithm satisfying degree ore blending

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Design optimization of the blow moulding process using a fuzzy optimization algorithm

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PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE 2004年第2期218卷 197-212页

作者： Hsu, YL Liu, TC Thibault, F Lanctot, B Yuan Ze Univ Dept Mech Engn Optimal Design Lab Chungli Taiwan Inst Ind Mat Boucherville PQ Canada

Blow moulding is the forming of a hollow part by 'blowing' a mould cavity shaped parison made by a thermoplastic molten tube. Blow-moulded parts often require strict control of the thickness distribution in order to achieve the required mechanical performance and final weight. A fuzzy optimization algorithm for determining the optimal die gap openings and die geometry for the required thickness distribution in the blow moulding process is presented. The idea of the fuzzy optimization algorithm is that, instead of using purely numerical information to obtain the new design point in the next iteration, engineering knowledge and the human supervision process can be modelled in the optimization algorithm using fuzzy rules. The structure of an optimization algorithm is still maintained to guide the engineering decision process and to ensure that an optimal solution rather than a trial and error solution can be obtained. It is shown how a single fuzzy engine can be used in various cases and types of optimization of the blow moulding process.

关键词： blow moulding fuzzy optimization algorithm computer simulation

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