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Title: code for job scheduling algorithm using aco algorithm in java
Page Link: code for job scheduling algorithm using aco algorithm in java -
Posted By: [email protected]
Created at: Thursday 05th of October 2017 04:12:28 AM
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Title: load balancing in cloud computing ant colony optimization
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Posted By: Sweety
Created at: Thursday 05th of October 2017 04:54:43 AM
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Title: ant colony algorithm job scheduling grid computing java code
Page Link: ant colony algorithm job scheduling grid computing java code -
Posted By: nitesh mishra
Created at: Thursday 17th of August 2017 05:55:55 AM
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Title: multi colony ant algorithm matlab source code
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Posted By: roy
Created at: Thursday 05th of October 2017 05:30:49 AM
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In computer science and operations research, the ant colony optimization algorithm (ACO) is a probabilistic technique for solving computational problems which can be reduced to finding good paths through graphs.This algorithm is a member of the ant colony algorithms family, in swarm intelligence methods, and it constitutes some metaheuristic optimizations. Initially proposed by Marco Dorigo in 1992 in his PhD thesis, the first algorithm was aiming to search for an optimal path in a graph, based on the behavior of ants seeking a path between the ....etc

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Title: ant colony optimization matlab code pdf
Page Link: ant colony optimization matlab code pdf -
Posted By: santhidevi
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Title: java code for bees life algorithm for job scheduling in cloud computing on cloudsim
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Title: matlab code for multiobjective ant colony algorithm
Page Link: matlab code for multiobjective ant colony algorithm -
Posted By: gianlorenzo
Created at: Thursday 05th of October 2017 05:00:29 AM
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Title: ant colony optimization segmentation matlab
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Title: tcl script for ant colony optimization
Page Link: tcl script for ant colony optimization -
Posted By: ravissu
Created at: Thursday 17th of August 2017 04:54:28 AM
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Title: Ant colony optimization algorithms
Page Link: Ant colony optimization algorithms -
Posted By: akhilmekkatt
Created at: Thursday 17th of August 2017 05:13:52 AM
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Ant colony optimization algorithms


Detailed

3. Ants take the shortest route, long portions of other ways lose their trail pheromones.
In a series of experiments on a colony of ants with a choice between two unequal length paths leading to a source of food, biologists
have observed that ants tended to use the shortest route.

A model explaining this behaviour is as follows:
1. An ant (called blitz) runs more or less at random around the colony;
2. If it discovers a ....etc

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