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Immunized Continuous Ant Colony Algorithm
2007 Chinese Control Conference, 2006Nowadays, to solve continuous optimization problem and extend the traditional ant colony algorithm, some continuous ant colony algorithms have been proposed. To improve the searching performance, the principles of evolutionary algorithm and immune algorithm have been combined with the typical continuous ant colony algorithm, and one new immunized ...
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An Ant Colony Clustering Algorithm
2007 International Conference on Machine Learning and Cybernetics, 2007This paper presents an ant colony clustering algorithm for optimally clustering N objects into K clusters. The algorithm employs the global pheromone updating and the heuristic information to construct clustering solutions and uniform crossover operator to further improve solutions discovered by ants.
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Time Ant Colony Algorithm with Genetic Algorithms
2006 IEEE International Conference on Information Acquisition, 2006Time ant colony algorithm has good effect on combinatorial optimization problems as well as that of the ant colony algorithm while it has the shortcoming of long convergence time. A new method combined with genetic algorithms is proposed. Firstly a genetic algorithms procedure is used to solve the problem in specifying time.
Hong-hao Zuo, Fan-lun Xiong
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An improved ant colony algorithm with soldier ants
2015 11th International Conference on Natural Computation (ICNC), 2015In the traveling Salesman Problem (TSP) research, the global search capability, convergence speed and robustness have become the hot issues. The ant colony algorithm is often used to solve TSP. The paper presents an improved algorithm based on the basic ant colony algorithm.
null Shuhua Gu, null Xia Zhang
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Performance Evaluation by Ant Colony Algorithm
2010 Second International Conference on Information Technology and Computer Science, 2010Besides traditional verification of system functions, performance evaluation in modern hardware and software systems has received extensive attention. Performance evaluation aims at obtaining quantitative measures of the system to test whether reliability-related properties are warranted.
Jianfeng Chen, Jinzhao Wu
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Adaptive Parallel Ant Colony Algorithm
2005An adaptive parallel ant colony optimization is presented by improving the critical factor influencing the performance of the parallel algorithm. We propose two different strategies for information exchange between processors: selection based on sorting and on difference, which make each processor choose another processor to communicate and update the ...
Ling Chen, Chunfang Zhang
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Fuzzy-based ant colony optimization algorithm
2010 2nd International Conference on Computer Technology and Development, 2010Real world problems don't always come with sufficient, complete, and precise data; classical algorithms are facing some limitations like inefficiency of handling imprecise data or uncertain information. Therefore there is a need for finding powerful techniques to handle such situations.
Assem A. Alsawy, Hesham A. Hefny
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Hybrid Behavior Ant Colony Algorithm
Advanced Materials Research, 2012In basic ant colony algorithm optimization process, for the ant colony algorithm in speeding up the convergence rate and avoiding stagnation, ant colony algorithm based on hybrid behavior is studied in this paper. By the ant behavior definition and implementation of the algorithm, the instance confirms that the ant colony algorithm based on hybrid ...
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New continuous Ant Colony Algorithm
2008 7th World Congress on Intelligent Control and Automation, 2008Ant Colony Algorithm is a very good combination optimization method from mimic the swarm intelligence of ant colony behaviours. To extend the traditional Ant Colony Algorithm to continuous optimization problems, from the connections of continuous optimization and searching process of Ant Colony Algorithm, here one new Continuous Ant Colony Algorithm is
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Ant Colony Algorithm for Swarm Systems
2006 IEEE 3rd Latin American Robotics Symposium, 2006The paper presents a swarm model inspired in ant colonies where ants perform different tasks. The model emphasizes explorer and worker ants responsible for food search and bringing food back to the nest, respectively. The model is based on ACO ? Ant Colony Optimization providing a shortest path algorithm during route exploration.
Victor Soto Hernandez +1 more
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