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The Optimization of Adaptive Genetic Algorithm in Mine Equipment System
Author: ZhangYongZuo
Tutor: WeiJing
School: Kunming University of Science and Technology
Course: Mechanical and Electronic Engineering
Keywords: Adaptive Genetic Algorithm System Optimization Mining Equipment Optimization Model
CLC: TP18
Type: Master's thesis
Year: 2010
Downloads: 68
Quote: 0
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Abstract
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The actual characteristics of the underground metal mine production led to various classical optimization in equipment system optimization issues powerless , how to find an effective optimization method and reasonable optimize mining equipment underground metal mine production actually become a research mine the key device system optimization . Based on this, according to the actual production of the Datun tin ore requirements made ??a thorough research on the genetic algorithm to solve the mine equipment system optimization issues . The main contents and conclusions include the following aspects : ( 1 ) from the underground metal mine production reality , analysis of the characteristics of underground metal mine production and the optimization mechanism . And in this study on the basis of the objective function of mine production equipment production system , the objective function based optimization purposes . ( 2 ) to study the genetic algorithm and its theory made ??a thorough study , the basic mechanism of the genetic algorithm based on the characteristics of the genetic algorithm , the formulation and application of key technologies and genetic algorithm based on genetic algorithm in solving the underground metal mining equipment application to conduct feasibility studies and system optimization issues . ( 3 ) According to the characteristics of underground metal mining equipment system database data using adaptive genetic algorithm to solve device system optimization solution to the problem , and the key technology solution elaborate , adaptive genetic program verification the feasibility of the algorithm in solving this problem . ( 4 ) based on actual production requirements Datun tin mining equipment system optimization, and draw a preliminary optimization results . Actual comparative analysis , optimization results and mine production optimization results demonstrated feasibility and superiority , by optimizing the system of mining equipment , application of advanced mining production equipment can greatly increase mine production capacity , reducing mining costs theory . Detailed comparative analysis of the optimization results , elaborated to optimize the difference between the results in a variety of cases and analyze its causes , and given a reasonable explanation . Proved the advantages of adaptive genetic algorithm device system optimization and broaden the range of applications of genetic algorithms .
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CLC: > Industrial Technology > Automation technology,computer technology > Automated basic theory > Artificial intelligence theory
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