Hybridization strategies for continuous ant colony optimization and particle swarm optimization applied to data clustering
نویسندگان
چکیده
Ant colony optimization (ACO) and particle swarm optimization (PSO) are two popular algorithms in swarm intelligence. Recently, a continuous ACO named ACOR was developed to solve the continuous optimization problems. This study incorporated ACOR with PSO to improve the search ability, investigating four types of hybridization as follows: (1) sequence approach, (2) parallel approach, (3) sequence approach with an enlarged pheromone-particle table, and (4) global best exchange. These hybrid sys-
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ورودعنوان ژورنال:
- Appl. Soft Comput.
دوره 13 شماره
صفحات -
تاریخ انتشار 2013