Title :
An Improved Evolutionary Programming Algorithm for Fuzzy Programming Problems and its Application
Author :
Qian, Wei-Yi ; Zhang, Jin
Author_Institution :
Dept. of Math., Bohai Univ., Jinzhou
Abstract :
An improved evolutionary programming algorithm is proposed for fuzzy programming problems. The idea is to mimic the physics of electromagnetism by considering each individual as an electrical charge. Charge of each individual is defined using membership functions. After calculating these charges, like the electromagnetic force, we calculate a combination force exerted on each individual. This combination force is regarded as the search direction of mutation operator. The fitness function is given by membership functions. A fuzzy model is developed for designing 3D trajectory of horizontal wells. The fuzzy model can be transformed to fuzzy programming problem and solved by our proposed method. The model is illustrated numerically and the results are efficiently
Keywords :
evolutionary computation; fuzzy set theory; nonlinear programming; operations research; 3D trajectory design; electromagnetic force; evolutionary programming algorithm; fitness function; fuzzy programming problem; horizontal well; membership function; mutation operator; Cybernetics; Electronic mail; Functional programming; Fuzzy set theory; Genetic mutations; Genetic programming; Machine learning; Machine learning algorithms; Mathematical programming; Mathematics; Numerical models; Physics; Stochastic processes; Fuzzy programming; evolutionary programming algorithm; horizontal wells; membership function;
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
DOI :
10.1109/ICMLC.2006.259049
