2009Techniques of Automation and ApplicationsRequires access

Research An Improved Ant Colony Algorithm of the Optimal Routing Problem

Zhang Hang

Open publisher page 3 citations

Abstract

Search for the shortest path in transportation network is one of the most important problem of ITS.This paper analyzes the basic ant colony algorithm and presents an improved algorithm on the heuristic direction information and renewal of pheromone.The results of the experimentation proved that the improved algorithm could find the shortest path more accurately and quickly than the basic algorithm,and it's feasible.

About this research paper

What this paper is about

Search for the shortest path in transportation network is one of the most important problem of ITS.This paper analyzes the basic ant colony algorithm and presents an improved algorithm on the heuristic direction information and renewal of pheromone.The results of the experimentation proved that the improved algorithm could find the shortest path more accurately and quickly than the basic algorithm,and it's feasible.

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OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Search for the shortest path in transportation network is one of the most important problem of ITS.This paper analyzes the basic ant colony algorithm and presents an improved algorithm on the heuristic direction information and renewal of pheromone.The results of the experimentation proved that the improved algorithm could find the shortest path more accurately and quickly than the basic algorithm,and it's feasible.

Key concepts: Ant colony optimization algorithms, Shortest path problem, Yen's algorithm, Path (computing), Heuristic, Shortest Path Faster Algorithm, K shortest path routing, Computer science

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