Results 151 to 160 of about 8,083 (196)

A Q-learning-based hybrid search algorithm integrating PRM and ACO for 3D UAV path planning. [PDF]

Sci Rep
Liu S, Cui Y, Yu Y, Hu W.
europepmc   +1 more source

A unified ant colony optimization algorithm for continuous optimization [PDF]

European Journal of Operational Research, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Marco Dorigo, Thomas Stützle, Tianjun Liao   +2 more
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Structural topology optimization using ant colony optimization algorithm

Applied Soft Computing Journal, 2009
The ant colony optimization (ACO) algorithm, a relatively recent bio-inspired approach to solve combinatorial optimization problems mimicking the behavior of real ant colonies, is applied to problems of continuum structural topology design. An overview of the ACO algorithm is first described.
Guan-Chun Luh
exaly   +2 more sources

On the Faster Ant Colony Optimization Algorithm

2009 Fifth International Conference on Natural Computation, 2009
The pheromone trails in ACO are used to reflect the ants’ search experience, so the quality of the pheromone is crucial to the success of ACO. The main factors affecting the quality of the pheromone include the strategy of updating the pheromone and the quality of the constructed solutions.
Yingzhou Bi, Lixin Ding, Jianbo Lu
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An efficient Ant Colony Optimization algorithm for function optimization

2013 IEEE Congress on Evolutionary Computation, 2013
In 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, Shayantan Debbarman, Tamalika Biswas   +2 more
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Optimization and simulation research on Ant Colony Algorithm

2010 Sixth International Conference on Natural Computation, 2010
Aims 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), 2012
This 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, null Huang Guangqiu   +1 more
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A Novel Quantum Ant Colony Optimization Algorithm

2007
Ant 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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Research on a Novel Ant Colony Optimization Algorithm

2010
In 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

2012
Ant 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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