2012Unpublished venueRequires access

Genetic Algorithm Research for Dynamic Vehicle Routing Problem

Wenyong Li

Open publisher page 0 citations

Abstract

Targeting on the characteristics and the model of dynamic vehicle routing, the article researched their algorithm, and designed the improved genetic algorithm to solve the optimal path, the results showed that the improved genetic algorithm can increase the entire optimization ability and convergence speed, and it has achieved good results.

About this research paper

What this paper is about

Targeting on the characteristics and the model of dynamic vehicle routing, the article researched their algorithm, and designed the improved genetic algorithm to solve the optimal path, the results showed that the improved genetic algorithm can increase the entire optimization ability and convergence speed, and it has achieved good results.

Why it matters

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Key contribution

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Method / approach

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Available abstract

Targeting on the characteristics and the model of dynamic vehicle routing, the article researched their algorithm, and designed the improved genetic algorithm to solve the optimal path, the results showed that the improved genetic algorithm can increase the entire optimization ability and convergence speed, and it has achieved good results.

Key concepts: Genetic algorithm, Vehicle routing problem, Convergence (economics), Path (computing), Computer science, Routing (electronic design automation), Mathematical optimization, Algorithm

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