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A quickly convergent continuous ant colony optimization algorithm with Scout Ants
Applied Mathematics and Computation, 2011zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Qingbao Zhu, Zhijun Yang, Wei Ma
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Optimal Reactive Power Optimization by Ant Colony Search Algorithm
2009 Fifth International Conference on Natural Computation, 2009The paper presents an Ant Colony Search Algorithm(ACSA) for Optimal Reactive Power Optimization and voltage control of power systems. ACSA is a new co-operative agents’ approach, which is inspired by the observation of the behavior of real ant colonies on the topic of ant trial formation and foraging methods.
Ibrahim Oumarou +2 more
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Application of ant colony optimization algorithm in process planning optimization
Journal of Intelligent Manufacturing, 2010One objective of process planning optimization is to cut down the total cost for machining process, and the ant colony optimization (ACO) algorithm is used for the optimization in this paper. Firstly, the process planning problem, considering the selection of machining resources, operations sequence optimization and the manufacturing constraints, is ...
Xiaojun Liu 0002, Hong Yi, Zhonghua Ni
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The optimization design of truss based on Ant Colony optimal Algorithm
2010 Sixth International Conference on Natural Computation, 2010An optimization method for a truss structure design using the Ant Colony Algorithm is presented in this paper. With the constraints of the truss stiffness, strength, allowing displacement and other design conditions, the Ant Colony Algorithm is implanted to the optimizing process of the truss structure using the program languages of MATLAB. Two typical
Xiaojia Chen, Shuguang Liu, Shaohong He
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On Ant Colony Algorithm for Solving Continuous Optimization Problem
2008 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2008One of the most promising innovations in the area of heuristics is the development of evolutionary algorithms. A valuable and novel proposition in this area is ant algorithms. Researchers examining the behavior of real ants developed algorithms and applied them to many optimization problems.
Li Hong, Xiong Shibo
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Ant Colony Optimization Algorithm Based on Immune Strategy
2011 Fourth International Symposium on Computational Intelligence and Design, 2011Ant Colony Optimization (ACO) is inspired by the ability of ant colonies to find shortest paths between their nest and a food source. The paper proposed a modified ACO based on artificial immune strategy. The mechanism of the vaccination, antibody diversity and clonal deletion theory in artificial immune system are introduced to improve the ways of ...
Xiaoxia Zheng, Yang Fu
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Optimal Disk Scheduling Based On Ant Colony Optimization Algorithm
2006Disk scheduling problem has theoretical interest and practical importance since, the processor speed and memory capacity have been progressing several times faster than disk speed. More efficient disk usage methods have been needed because of the slow evolution in disk speed technology.
ÖKDEM, Selçuk, KARABOĞA, Derviş
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Genetic algorithm with ant colony optimization (GA-ACO) for multiple sequence alignment
Applied Soft Computing Journal, 2008Shun-Feng Su, Chen-Chia Chuang
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