Title :
Evolutionary computation for multicriteria solid transportation problem with fuzzy numbers
Author :
Li, Yinzhen ; Gen, Mitsuo ; Ida, Kenichi
Author_Institution :
Div. of Inf. & Ind. Eng., Ashikaga Inst. of Technol., Japan
Abstract :
We present an evolutionary computation of the fuzzy mSTP (multicriteria solid transportation problem) in which the coefficients of the objective function are represented as fuzzy numbers. The ranking fuzzy numbers with integral value are used in the evaluation and selection. The proposed algorithm is incorporated with problem-specific knowledge and can find the set of nondominated points in the criteria space based on decision maker degree of optimism
Keywords :
fuzzy logic; fuzzy set theory; genetic algorithms; number theory; operations research; transportation; criteria space; decision maker optimism; evaluation; evolutionary computation; fuzzy mSTP; fuzzy numbers; integral value; multicriteria solid transportation problem; nondominated points; objective function coefficients; problem-specific knowledge; ranking fuzzy numbers; selection; Computer simulation; Costs; Data structures; Environmental economics; Evolutionary computation; Genetics; Power generation economics; Solids; Transportation; Uncertainty;
Conference_Titel :
Evolutionary Computation, 1996., Proceedings of IEEE International Conference on
Conference_Location :
Nagoya
Print_ISBN :
0-7803-2902-3
DOI :
10.1109/ICEC.1996.542667
