Cognitive optimization in the development of assistive living systems
Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments
Student courses recommendation using ant colony optimization
ACIIDS'10 Proceedings of the Second international conference on Intelligent information and database systems: Part II
Financial data forecasting by evolutionary neural network based on ant colony algorithm
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part III
An adaptive image enhancement method based on contourlet transform and improved ant colony algorithm
IScIDE'11 Proceedings of the Second Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Review: A survey on intelligent routing protocols in wireless sensor networks
Journal of Network and Computer Applications
Cognitive optimization in assistive living system development
Applied Bionics and Biomechanics - Assistive and Rehabilitation Robotics II
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Ant Colony Optimization (ACO) is a new natural computation method from mimic the behaviors of ant colony.It is a very good combination optimization method. To extend the ant colony optimization, some continuous Ant Colony Optimizations have been proposed. To improve the searching performance, the principles of evolutionary algorithm and artificial immune algorithm have been combined with the typical continuous Ant Colony Optimization, and one new Immunized Ant Colony Optimization is proposed here. In this new algorithm, the ant individual is transformed by adaptive Cauchi mutation and thickness selection. To verify the new algorithm, the typical functions, such as Schaffer function and "Needle-in-a-haystack" function, are all used. And then, the results of Immunized Ant Colony Optimization are compared with that of continuous Ant Colony Optimization. The results show that, the convergent speed and computing precision of new algorithm are all very good.