Improved Genetic Algorithm in Vehicle Management

Shan Hong Zhu; Tao Kuang

doi:10.4028/www.scientific.net/AMR.989-994.2422

Paper Titles

A Projected Conjugate Gradient Method for Box-Constrained Optimization
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Decomposition of New Construction Land Quota in Rural Land Based on AHP
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Design and Implementation of General High-Speed Data Storage System
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Research on Software Algorithm Capture of Spread Spectrum TT&C Signals
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Improved Genetic Algorithm in Vehicle Management
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Detecting Epistasis by LASSO-Penalized-Model Search Algorithm in Human Genome-Wide Association Studies
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A Fuzzy Clustering Algorithm Based on Parameter Optimization in Large Transaction Database
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A Hybrid Approach for Critical Technology Identification
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Coupling Sentiment Dictionary and SVM Classification for Text Orientation Analysis
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 989-994Improved Genetic Algorithm in Vehicle Management

Improved Genetic Algorithm in Vehicle Management

Abstract:

As the development of world economy, demand of logistics industry is getting more complex. Vehicle management dispatcher is an important part in logistic system, so how to realize the reasonable dispatcher of vehicles under the circumstance of multi-resources-constrain is the key issue in promoting the prosperity and development of modern logistics industry. The traditional genetic algorithm has the disadvantages that hinder the development and promotion of vehicle dispatcher and slow retard the development speed of logistics industry. Through the research of vehicle dispatcher's demand, we have put forward a new genetic algorithm which is improved, effective and adept to the normal vehicle dispatcher. We have proved that this algorithm is feasible and effective by analyzing the examples.