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2011•Modern Electronics TechniqueRequires access

Optimization for Travel Time of Coking Machine Based on Genetic Algorithm

BU Xiang-quan

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Abstract

The genetic algorithm is adopted to realize the travel time optimal control of coking machines.After the objective function and constraint conditions of the coking machine travel time is established,the function model of travel time is optimized with the genetic algorithm,the function is written and simulated with MATLAB,and the optimized travel time of the machine is obtained.By comparison and analysis of the optimized travel time based on the genetic algrithm and the traditional travel time of the machine,it proves that the machine′s optimized travel time based on genetic algorithm has higher superiority and timeliness.

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What this paper is about

The genetic algorithm is adopted to realize the travel time optimal control of coking machines.After the objective function and constraint conditions of the coking machine travel time is established,the function model of travel time is optimized with the genetic algorithm,the function is written and simulated with MATLAB,and the optimized travel time of the machine is obtained.By comparison and analysis of the optimized travel time based on the genetic algrithm and the traditional travel time of the machine,it proves that the machine′s optimized travel time based on genetic algorithm has higher superiority and timeliness.

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Available abstract

The genetic algorithm is adopted to realize the travel time optimal control of coking machines.After the objective function and constraint conditions of the coking machine travel time is established,the function model of travel time is optimized with the genetic algorithm,the function is written and simulated with MATLAB,and the optimized travel time of the machine is obtained.By comparison and analysis of the optimized travel time based on the genetic algrithm and the traditional travel time of the machine,it proves that the machine′s optimized travel time based on genetic algorithm has higher superiority and timeliness.

Key concepts: Genetic algorithm, Travel time, MATLAB, Computer science, Function (biology), Constraint (computer-aided design), Time travel, Algorithm

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