TY - GEN
T1 - Particle swarm optimization in regression analysis
T2 - 4th International Conference on Advances in Swarm Intelligence, ICSI 2013
AU - Cheng, Shi
AU - Zhao, Chun
AU - Wu, Jingjin
AU - Shi, Yuhui
PY - 2013
Y1 - 2013
N2 - In this paper, we utilized particle swarm optimization algorithm to solve a regression analysis problem in dielectric relaxation field. The regression function is a nonlinear, constrained, and difficult problem which is solved by traditionally mathematical regression method. The regression process is formulated as a continuous, constrained, single objective problem, and each dimension is dependent in solution space. The object of optimization is to obtain the minimum sum of absolute difference values between observed data points and calculated data points by the regression function. Experimental results show that particle swarm optimization can obtain good performance on regression analysis problems.
AB - In this paper, we utilized particle swarm optimization algorithm to solve a regression analysis problem in dielectric relaxation field. The regression function is a nonlinear, constrained, and difficult problem which is solved by traditionally mathematical regression method. The regression process is formulated as a continuous, constrained, single objective problem, and each dimension is dependent in solution space. The object of optimization is to obtain the minimum sum of absolute difference values between observed data points and calculated data points by the regression function. Experimental results show that particle swarm optimization can obtain good performance on regression analysis problems.
KW - Particle swarm optimization
KW - regression analysis
KW - regression models
KW - weighted least absolute difference value
UR - http://www.scopus.com/inward/record.url?scp=84884857060&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-38703-6_6
DO - 10.1007/978-3-642-38703-6_6
M3 - Conference Proceeding
AN - SCOPUS:84884857060
SN - 9783642387029
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 55
EP - 63
BT - Advances in Swarm Intelligence - 4th International Conference, ICSI 2013, Proceedings
Y2 - 12 June 2012 through 15 June 2012
ER -