Results 231 to 240 of about 61,825 (273)

Clustering processing ant colony algorithm

2010 Second Pacific-Asia Conference on Circuits, Communications and System, 2010
Contrary to TSP with clustering features, clustering processing ant colony algorithm (CPACA) is studied in this paper. CPACA first clusters cities in TSP, the TSP problem is decomposed into many small-scale sub-problems (the number of sub-problems equals to the clustering number of cities), then each sub-problem is solved using the ant colony algorithm
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Toward Adaptive Ant Colony Algorithm

2010 International Conference on Measuring Technology and Mechatronics Automation, 2010
On the basis of author’s former work, this paper presents an improved ant colony algorithm, namely adaptive ant colony algorithm. In the proposed algorithm, the value of evaporation rate ρ is adaptively changed and a minimum value ρmin is assigned. Thereby, the evaporation rate ρ is under control and will never be reduced to 0.
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Document clustering using ant colony algorithm

2017 International Conference on Big Data Analytics and Computational Intelligence (ICBDAC), 2017
In unusual years, merit to the pick up the novel of the documents everywhere the World Wide Web and libraries, has duty bound us to crowd the documents. The main desire of clustering is to group the documents based on the semantics. Document clustering is a well-known application in data mining.
E. Nagarajan, Keshetty Saritha, G. MadhuGayathri   +2 more
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Hybrid ant colony algorithm for QAP

2009 ISECS International Colloquium on Computing, Communication, Control, and Management, 2009
Ant colony algorithm (ACA), inspired by the food-searching behavior of ants, is an evolutionary algorithm and performs well in discrete optimization. In this paper, through an analysis of the constructive procedure of the solution in the ACA, a hybrid ant colony system(PLSACA) with Pareto Local Search(PLS), is proposed.
Chengming Qi, Wenjie Tian, Yunchuan Sun
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Ant Colony Algorithms and Logistics Distribution Solutions

2012
First, the article briefly introduces the ant colony algorithm, and then focuses on the use it to solve the VRP (vehicle routing problem) and its application. Next, we analyzed the data structure and the characteristics of the actual logistics program. Finally, this article details the multi-parameter multi-objective algorithm and program design.
Zhang, Jianhua, Zhang, Zhe
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Network optimization using ant colony algorithm

2016 International Conference on Automatic Control and Dynamic Optimization Techniques (ICACDOT), 2016
Computer network plays vital role in our day to day life's critical issues such as hospitals, fire brigade, military. The errors or failures in such computer network create significant loss. These failures or errors should be taken into account while designing a computer network.
Mamta Munge, Handore Shubhangi
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An improved ant colony clustering algorithm

2010 3rd International Conference on Biomedical Engineering and Informatics, 2010
Based on the basic model of ant colony clustering algorithm, LF, an improved ant colony clustering algorithm (IACC) is proposed. The constructing method, the colony similarity, and the behavior of the ant are redefined. A new adaptive parameter adjustment strategy is also presented in this paper.
Hong Jiang, Qingsong Yu, Yu Gong
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An adaptive weighted ant colony algorithm

2017 29th Chinese Control And Decision Conference (CCDC), 2017
The ant colony algorithm is a metaheuristic algorithm, it provides a new approach for solving discrete optimization problems-the traveling salesman problem, for instance, is usually tested as the benchmark. Since the ant colony algorithm was introduced, many refinements have been developed to improve the performance by refining the pheromone updating ...
Shi-wei Gao, Ya-jie Li
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Riverview on ant colony optimization algorithms

World Journal of Engineering, 2013
Ant colony algorithm is widely used in recent years as a heuristic algorithm. It provides a new way to solve complicated combinatorial optimization problems. Having been enlightened by the behavior of ant colony's searching for food, positive feedback construction and distributed computing combined with certain heuristics are adopted in the algorithm ...
Yancang Li, Chenguang Ban, Rouya Li
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Ant Colony Optimization based scheduling algorithm

2013 International Conference on Open Source Systems and Technologies, 2013
Scheduling of processes has a significant effect in overall system performance. Moreover, scheduling of n-processes to optimize certain objective is a well-known NP hard problem. This paper presents a scheduling algorithm for n-processes based on Ant Colony Optimization (ACO) technique.
Fariha Nosheen, Sadia Bibi, Salabat Khan
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