Title :
A differential evolution algorithm for solving geometric programming problems
Author :
Xiaohong Wang ; Qinghua Su ; Yongfei Miao
Author_Institution :
Wuhan Bus. Univ., Wuhan, China
Abstract :
A geometric program (GP) is a type of optimization problem characterized by objective and constraint functions that have a special form. By combining with a simple constraint-handling mechanism based on feasibility rules, a new approach based on a differential evolution algorithm is proposed for solving the GP problem in this paper. Numerical simulation experiments show the validity of the method, and comparative studies expose the proposed algorithm as a competitive approach for geometric programming problems.
Keywords :
constraint handling; evolutionary computation; geometric programming; GP problem; constraint functions; constraint-handling mechanism; differential evolution algorithm; geometric programming problems; numerical simulation experiments; objective functions; optimization problem; Algorithm design and analysis; Educational institutions; Optimization; Programming; Sociology; Statistics; Vectors; constraint-handling mechanism; differential evolution algorithm; geometric programming;
Conference_Titel :
Natural Computation (ICNC), 2013 Ninth International Conference on
Conference_Location :
Shenyang
DOI :
10.1109/ICNC.2013.6818001
