Ant colony algorithm is based on real ant colony behavior and proposed a simulated evolutionary algorithm, ants are among the pheromone through a material and impart information, ants in the process of movement in the path on the left of the substance , but also perceived the existence of such material and its strength, and to guide their direction. By analogy it is a combinatorial optimization and ant colony foraging behavior and structure of an algorithm can be used to solve various combinatorial optimization problems, the code used to solve the production scheduling problem

test1
.....\classes
.....\.......\package cache
.....\.......\.............\test1.dep2
.....\.......\test1
.....\.......\.....\Aim.class
.....\.......\.....\AntAlgorithm.class
.....\.......\.....\AntDistance.class
.....\.......\.....\AntTransfer.class
.....\.......\.....\Application1.class
.....\.......\.....\ColonyInitialization.class
.....\.......\.....\Expectation.class
.....\.......\.....\Frame1.class
.....\.......\.....\InformationDensity.class
.....\.......\.....\MaxProbablity.class
.....\.......\.....\NumberInitialization.class
.....\.......\.....\PriceInitialization.class
.....\.......\.....\TransferProbablity.class
.....\.......\.....\ValueInitialization.class
.....\.......\.....\VisibleDistrict.class
.....\src
.....\...\test1
.....\...\.....\Aim.java
.....\...\.....\AntAlgorithm.java
.....\...\.....\AntDistance.java
.....\...\.....\AntTransfer.java
.....\...\.....\Application1.java
.....\...\.....\AverageDistance.java
.....\...\.....\ColonyInitialization.java
.....\...\.....\Expectation.java
.....\...\.....\Frame1.java
.....\...\.....\InformationDensity.java
.....\...\.....\MaxProbablity.java
.....\...\.....\NumberInDistrict.java
.....\...\.....\NumberInitialization.java
.....\...\.....\PriceInitialization.java
.....\...\.....\SumMinus.java
.....\...\.....\TransferProbablity.java
.....\...\.....\ValueInitialization.java
.....\...\.....\VisibleDistrict.java
.....\test1.jpx
.....\test1.jpx.local

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