Title :
Interval arithmetic optimization technique for system reliability with redundancy
Author :
Munoz, H. ; Pierre, E.
Author_Institution :
Dept. of Math., Southern Univ., Baton Rouge, LA
Abstract :
This work presents an interval optimization technique to compute the global minimum of the objective cost function arising in system redundancy and unit redundancy optimization problems. This new technique is compared with the lagrangian multipliers method, which is commonly used to deal with this type of optimization problems. Some illustrative examples are considered
Keywords :
nonlinear programming; optimisation; redundancy; reliability theory; global minimum; interval optimization technique; lagrangian multiplier method; objective cost function; parallel components; system redundancy; unit redundancy optimization problem; Arithmetic; Cost function; Ear; Lagrangian functions; Linear programming; Mathematics; Optimization methods; Parallel programming; Redundancy; Reliability;
Conference_Titel :
Probabilistic Methods Applied to Power Systems, 2004 International Conference on
Print_ISBN :
0-9761319-1-9