Feedback learning particle swarm optimization
نویسندگان
چکیده
منابع مشابه
Feedback learning particle swarm optimization
In this paper, a feedback learning particle swarm optimization algorithm with quadratic inertia weight (FLPSOQIW) is developed to solve optimization problems. The proposed FLPSO-QIW consists of four steps. Firstly, the inertia weight is calculated by a designed quadratic function instead of conventional linearly decreasing function. Secondly, acceleration coefficients are determined not only by...
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ژورنال
عنوان ژورنال: Applied Soft Computing
سال: 2011
ISSN: 1568-4946
DOI: 10.1016/j.asoc.2011.07.012