Abstract: By the use of groups'advantages,in the absence of centralized control and without providing the overall model situation,swarm intelligence optimum algorithm provides the foundation on finding complex distributed solutions to the problem.Introduces the two swarm intelligence algorithm models:ant colony algorithm model and the particle swarm algorithm model,researches on principle mechanism,the basic model,process realization and improved ideas and methods;and by comparing the calculation results of the ant colony algorithm and other heuristic algorithm through the simulation,proved that the ant colony algorithm has a strong ability to find better solutions,and is not easy for a local optimum.The algorithm which based on the population of reservations,parallel global search strategy,using simply speed-displacement model operation,has been made in a higher success rate in practical application.
Publication Year: 2008
Publication Date: 2008-01-01
Language: en
Type: article
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Cited By Count: 12
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