An expected value model of quadratic clique problem on a graph with fuzzy parameters

2012 ◽  
Author(s):  
Sk. Md. Abu Nayeem
Keyword(s):  
Expected Value ◽  
Expected Value Model ◽  
Value Model ◽  
Fuzzy Parameters ◽  
Clique Problem

The DNA Genetic Algorithm Applied for Solving Optimal Placement of Sensors

2012 ◽  
Vol 160 ◽  
pp. 103-108
Author(s):  
Xin Liu ◽  
Zhong Ren Feng ◽  
Xiong Jian Wang ◽  
Bao Fu Wang
Keyword(s):  
Genetic Algorithm ◽  
Integer Programming ◽  
Expected Value ◽  
Optimal Placement ◽  
Stochastic Integer Programming ◽  
Objective Functions ◽  
Stochastic Variable ◽  
Expected Value Model ◽  
Complex Knowledge ◽  
Value Model

In order to solve optimal placement of bridge sensors based on the modal information, a multi-objective integer programming expected value model is established and the number of modal is considered as a stochastic variable in this paper, and here Fisher and MAC matrix are combined as the objective functions . Since DNA Genetic algorithm has the merits of plentiful coding, and decoding, conveying complex knowledge flexibly, these merits and the technique of stochastic simulation are also combined, which for estimating stochastic integer programming expected value models problem. And finally the feasibility of the algorithm is showed by XuGe Bridge as an example.

Multiobjective expected value model for portfolio selection in fuzzy environment

2012 ◽  
Vol 7 (8) ◽  
pp. 1765-1791 ◽  
Author(s):  
Pankaj Gupta ◽  
Garima Mittal ◽  
Mukesh Kumar Mehlawat
Keyword(s):  
Portfolio Selection ◽  
Expected Value ◽  
Fuzzy Environment ◽  
Expected Value Model ◽  
Value Model
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