scholarly journals Modified continuous ant colony algorithm for function optimization

2008 ◽  
Author(s):  
Alexandre Aidov
Keyword(s):  
Ant Colony Algorithm ◽  
Function Optimization ◽  
Ant Colony

scholarly journals An Improved Ant Colony Optimization Algorithm with Crossover Operator

2014 ◽  
Vol 8 (1) ◽  
pp. 96-100
Author(s):  
Junen Guo ◽  
Wenguang Diao
Keyword(s):  
Integrated Circuit ◽  
Large Scale ◽  
Ant Colony Algorithm ◽  
Network Routing ◽  
Function Optimization ◽  
Ant Colony ◽  
Crossover Operator ◽  
Ant Colony Optimization Algorithm ◽  
Integrated Circuit Design ◽  
Optimization Function

Ant colony algorithm has been widely applied to lots of fields, such as combinatorial optimization, function optimization, system identification, network routing, robot path planning, data mining and large-scale integrated circuit design of integrated wiring, etc. And it achieved good results. But it still has one weak point which is the slowing convergence speed. To aim at the lacks, an improved ACO is presented. This paper studies a kind of improved ant colony algorithm with crossover operator which makes crossover operator among better results at the end of each iteration. The experiment results indicate that the improved ACO is effectual.

Searching of Critical Slip Surface of Slope Based on Bionics Algorithm

2010 ◽  
Vol 156-157 ◽  
pp. 1335-1338
Author(s):  
Wei Gao ◽  
Lu Yu Zhang
Keyword(s):  
Ant Colony Algorithm ◽  
Slip Surface ◽  
Limit Equilibrium ◽  
Continuous Optimization ◽  
Function Optimization ◽  
Ant Colony ◽  
Equilibrium Analysis ◽  
Critical Slip Surface ◽  
Artificial Immune System Algorithm ◽  
The Stability

The landslides from the instability of slopes are very serious geological hazards. The one key issue to compute the slope stability is the searching of critical slip surface. Generally, the searching of critical slip surface is a very typical complicated continuous optimization problem. To solve this problem very well, firstly, combing the artificial immune system algorithm and evolutionary algorithm with continuous ant colony algorithm, one new bionics algorithm for continuous function optimization which is called immunized continuous ant colony algorithm is proposed, secondly, combing new algorithm with limit equilibrium analysis, one new global optimization algorithm for critical slip surface searching is proposed. At last, through a typical numerical example-ACADS example, this new method is verified. The results show that, using the new algorithm, the searched slip surface will be coincided with the measured slip surface very well, and the stability safety factor will also be agree with the actual situation.

Improved Ant Colony Algorithm and Application in Sequence Images of Prostate DWI Registration

2014 ◽  
Vol 1049-1050 ◽  
pp. 530-534
Author(s):  
Xiao Ping Zong ◽  
Hai Bin Zhang ◽  
Lei Hao ◽  
Pei Guang Wang
Keyword(s):  
Continuous Function ◽  
Diffusion Weighted Imaging ◽  
Ant Colony Algorithm ◽  
Transition Probabilities ◽  
Function Optimization ◽  
Experimental Results ◽  
Ant Colony ◽  
Optimal Solutions ◽  
Ant System ◽  
Improved Ant Colony Algorithm

Because of the drift which exists in sequence image of prostate DWI (Diffusion Weighted Imaging), the global ant colony algorithm is introduced into the paper for registration optimization. The paper introduces an ant colony algorithm for continuous function optimization, based on max-min ant system (MMAS). This paper controls the transition probabilities and enhances the abilities of ants seeking globally optimal solutions by adding an adjustable factor in the basic ant colony algorithm and updating the local pheromone and global pheromone. Experimental results verify the effectiveness of the algorithm.

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