TY - GEN
T1 - A novel multi-level quantization scheme for discrete particle swarm optimization
AU - Song, Hwachang
AU - Diolata, Ryan B.
AU - Joo, Young Hoon
PY - 2009
Y1 - 2009
N2 - This paper presents a novel multi-level quantization scheme which best approximates the sigmoid function for multi-value discrete variable transformation in PSO. We define the set of multi-level quantization as integer multiples of powers-of-two terms to efficiently approximate the sigmoid function in transforming particle's position into multilevel discrete values. In this paper, the feasibility of the proposed technique was tested in photovoltaic (PV) system allocation problem, and a comparison study with genetic algorithm (GA) is performed to show the quality of the solutions obtained.
AB - This paper presents a novel multi-level quantization scheme which best approximates the sigmoid function for multi-value discrete variable transformation in PSO. We define the set of multi-level quantization as integer multiples of powers-of-two terms to efficiently approximate the sigmoid function in transforming particle's position into multilevel discrete values. In this paper, the feasibility of the proposed technique was tested in photovoltaic (PV) system allocation problem, and a comparison study with genetic algorithm (GA) is performed to show the quality of the solutions obtained.
UR - http://www.scopus.com/inward/record.url?scp=71249122886&partnerID=8YFLogxK
U2 - 10.1109/FUZZY.2009.5277306
DO - 10.1109/FUZZY.2009.5277306
M3 - Conference contribution
AN - SCOPUS:71249122886
SN - 9781424435975
T3 - IEEE International Conference on Fuzzy Systems
SP - 1834
EP - 1838
BT - 2009 IEEE International Conference on Fuzzy Systems - Proceedings
T2 - 2009 IEEE International Conference on Fuzzy Systems
Y2 - 20 August 2009 through 24 August 2009
ER -
