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An efficient Ant Colony Optimization algorithm for function optimization
2013 IEEE Congress on Evolutionary Computation, 2013In this article we have proposed an efficient Ant Colony Optimization method, namely Guided Ant Colony Optimization (GACO) technique for optimizing mathematical functions. The search process of the optimization approach is directed towards a region or a hypercube in a multidimensional space where the amount of pheromone deposited is maximum after a ...
Gautam Garai +2 more
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Optimization and simulation research on Ant Colony Algorithm
2010 Sixth International Conference on Natural Computation, 2010Aims at remedying the default of precocity and stagnation in the standard Ant Colony Algorithm(ACA),the rule of dynamic updating pheromones is presented, so that the area of feasible solutions are expanded, and the capability of global search is enhanced.
Fengtao Lin, Leping Liu
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An optimization algorithm based on ant colony algorithm
International Conference on Automatic Control and Artificial Intelligence (ACAI 2012), 2012This paper proposes an optimization algorithm to resolve combinatorial optimization problem. Congestion degree in the artificial fish school algorithm is used in ant colony algorithm in this paper. During the initial process of the optimization, the congestion degree plays the main role to guide the ants to search the new path randomly, which makes the
null Kuang Xiangling +1 more
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A Novel Clustering Algorithm with Ant Colony Optimization
2008 IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application, 2008Clustering analysis is an important area of data mining. A kind of new clustering algorithm with ant colony optimization based on cluster center initialization is proposed in this paper. The new algorithm gives initialized cluster centers by different methods, then solves clustering problems by iterated method.
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Research on a Novel Ant Colony Optimization Algorithm
2010In this paper, an adaptive optimization system is established In order to improve the global ability of basic ant colony algorithm, a novel ant colony algorithm which is based on adaptively adjusting pheromone decay parameter has been proposed, and it has been proved that for a sufficiently large number of iterations, the probability of finding the ...
Gang Yi, Ming Jin, Zhi Zhou
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Improved Strategies of Ant Colony Optimization Algorithms
2012Ant Colony Optimization (ACO) algorithms, inspired by the foraging behavior of real ants, have achieved great success in tackling discrete combinational optimization problems. Since the first ant algorithm—Ant System was introduced in early 1990s, various improved versions of ant algorithms have been proposed and most of them share similar improving ...
Ping Guo 0003, Zhujin Liu, Lin Zhu
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A Novel Quantum Ant Colony Optimization Algorithm
2007Ant colony optimization (ACO) is a technique for mainly optimizing the discrete optimization problem. Based on transforming the discrete binary optimization problem as a "best path" problem solved using the ant colony metaphor, a novel quantum ant colony optimization (QACO) algorithm is proposed to tackle it.
Ling Wang 0009, Qun Niu, Minrui Fei
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An Ant Colony Optimization Algorithm for Shop Scheduling Problems
Journal of Mathematical Modelling and Algorithms, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Christian Blum 0001, Michael Sampels
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Parallel Ant Colony Optimization Algorithm
2006 6th World Congress on Intelligent Control and Automation, 2006Ant colony optimization algorithm is a good way to solve complex multi-stage decision problems. But the construction graph and computation steps for an ant to construct a solution in the construction graph will be exponentially increased, if the stage number and decision variable dimension of complex multi-stage decision problem are increasing. It will
null Hong Liu, null Ping Li, null Yu Wen
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Riverview on ant colony optimization algorithms
World Journal of Engineering, 2013Ant 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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