TY - GEN
T1 - Search method for box-constrained optimization
AU - Housh, Mashor
AU - Ostfeld, Avi
AU - Shamir, Uri
PY - 2011
Y1 - 2011
N2 - A new search method for box-constrained optimization problems titled Search Method for Box Optimization (SMBO) is presented in this paper. SMBO is a population heuristic based method intended to solve box constrained global optimization problems. SMBO represents the population as Probability Density Functions (PDF) within the problem bounds. The PDF shape is dynamically adapted during the search process leading to convergence towards the global optimum. The method is tested on two benchmark sets, which include unimodal, multi-modal, expanded and hybrid composition functions. The performance of SMBO is compared with several genetic algorithms (GAs); the first test compares it with relatively traditional/classic nine codes of parallel GAs, and the second compares SMBO with two recent variants of GAs. The obtained results show equal or better performance in both comparisons. The method has also been applied to optimize a nonlinear model for management of a water supply system, and the results were compared with the commercial GA toolbox of MATLAB.
AB - A new search method for box-constrained optimization problems titled Search Method for Box Optimization (SMBO) is presented in this paper. SMBO is a population heuristic based method intended to solve box constrained global optimization problems. SMBO represents the population as Probability Density Functions (PDF) within the problem bounds. The PDF shape is dynamically adapted during the search process leading to convergence towards the global optimum. The method is tested on two benchmark sets, which include unimodal, multi-modal, expanded and hybrid composition functions. The performance of SMBO is compared with several genetic algorithms (GAs); the first test compares it with relatively traditional/classic nine codes of parallel GAs, and the second compares SMBO with two recent variants of GAs. The obtained results show equal or better performance in both comparisons. The method has also been applied to optimize a nonlinear model for management of a water supply system, and the results were compared with the commercial GA toolbox of MATLAB.
KW - Optimization
KW - Water management
UR - http://www.scopus.com/inward/record.url?scp=79960404778&partnerID=8YFLogxK
U2 - 10.1061/41173(414)303
DO - 10.1061/41173(414)303
M3 - Conference contribution
AN - SCOPUS:79960404778
SN - 9780784411735
T3 - World Environmental and Water Resources Congress 2011: Bearing Knowledge for Sustainability - Proceedings of the 2011 World Environmental and Water Resources Congress
SP - 2901
EP - 2910
BT - World Environmental and Water Resources Congress 2011
T2 - World Environmental and Water Resources Congress 2011: Bearing Knowledge for Sustainability
Y2 - 22 May 2011 through 26 May 2011
ER -
