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Immunized Continuous Ant Colony Algorithm

2007 Chinese Control Conference, 2006
Nowadays, 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 ...
openaire   +1 more source

Obstacle avoidance path planning of unmanned submarine vehicle in ocean current environment based on improved firework-ant colony algorithm

Computers & electrical engineering, 2020
In order to solve the unmanned underwater vehicle two-dimensional autonomous path planning problem in the environment affected by ocean current and obstacles, this paper applies the improved Fireworks-Ant Colony Hybrid Algorithm to solve it.
Yan Ma   +5 more
semanticscholar   +1 more source

Target Disassembly Sequencing and Scheme Evaluation for CNC Machine Tools Using Improved Multiobjective Ant Colony Algorithm and Fuzzy Integral

IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019
Disassembly planning aims to perform the optimal disassembly sequence given a used or obsolete product in terms of cost and environmental impact. This paper presents a new multiobjective programming model for the target disassembly sequencing.
Yixiong Feng   +6 more
semanticscholar   +1 more source

An Ant Colony Clustering Algorithm

2007 International Conference on Machine Learning and Cybernetics, 2007
This 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, 2006
Time 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
openaire   +1 more source

An improved ant colony algorithm with soldier ants

2015 11th International Conference on Natural Computation (ICNC), 2015
In 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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Path Planning for Autonomous Underwater Vehicles: An Ant Colony Algorithm Incorporating Alarm Pheromone

IEEE Transactions on Vehicular Technology, 2019
Path planning is a critical issue to ensure the safety and reliability of the autonomous navigation system of the autonomous underwater vehicles (AUVs).
Yining Ma   +4 more
semanticscholar   +1 more source

Performance Evaluation by Ant Colony Algorithm

2010 Second International Conference on Information Technology and Computer Science, 2010
Besides 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

2005
An 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
openaire   +1 more source

Fuzzy-based ant colony optimization algorithm

2010 2nd International Conference on Computer Technology and Development, 2010
Real 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
openaire   +1 more source

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