DocumentCode :
2892518
Title :
Binary Ant Colony Algorithm with Transferring the Signal
Author :
Xiong, Wei-qing ; Wang, Liu-yi
Author_Institution :
Inst. of Comput. Sci. & Technol., Ningbo Univ.
fYear :
2006
fDate :
13-16 Aug. 2006
Firstpage :
2148
Lastpage :
2153
Abstract :
This paper designs a kind of binary colony algorithm. Each ant stands at the former place to form one dimension linear queue to transfer the signal each other. While the signal passes through each ant, the ant randomly chooses state (0 or 1) according to its own pheromone. By adopting the binary coding, the need for single ant behavior is lower and the corresponding memory is relatively less. This improves the algorithm´s efficiency and makes the realization be relatively easy. The test function and the multi 0/1 Knapsack problem show that the algorithm has better convergence speed and stability, the result is very excellent
Keywords :
artificial life; binary codes; directed graphs; evolutionary computation; knapsack problems; optimisation; queueing theory; Knapsack problem; ant behavior; binary ant colony optimization algorithm; binary coding; one dimension linear queue; pheromone; signal transfer; Algorithm design and analysis; Ant colony optimization; Computational modeling; Computer science; Convergence; Cybernetics; Evolutionary computation; Humans; Intelligent structures; Machine learning; Machine learning algorithms; Signal design; Stability; Stochastic processes; Testing; Swarm intelligence; ant colony algorithm; binary network; simulated evolutionary computation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
Type :
conf
DOI :
10.1109/ICMLC.2006.258611
Filename :
4028419
Link To Document :
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