Selection of projects using a robust technique is rare as most the techniques are not considered useful due to limitation on number that can be selected well cost saving being selected. This study investigated validity hybrid model − integrated analytical hierarchy process-goal programming (AHP-GP) avoid project portfolio selection problems delaying community development.The proposed includes t...

We introduce a new form of linear genetic programming (GP). Two methods of acceleration of our GP approach are discussed: 1) an efficient algorithm that eliminates intron code and 2) a demetic approach to virtually parallelize the system on a single processor. Acceleration of runtime is especially important when operating with complex data sets, because they are occuring in real-world applicati...

In this paper a method for automatic controller synthesis based on Genetic Programming (GP) is presented. We propose a GP algorithm linked with Matlab/Simulink, a well known tool amongst control engineers. The GP algorithm performs its evolutionary steps to create controllers, whilst Matlab/Simulink evaluates these controllers for their appropriateness. The engineer no longer needs design rules...

Determination of optimal cropping pattern is essential for arid and semiarid regions. Lorestan province is located in the west part of Iran with mean annual precipitation from 50 to 1000 mm and in most parts of this province water resources for agriculture are deficit. Khoramabad region with semi-arid climate is located in Lorestan province with mean annual rainfall of 373 mm. The purpose of th...

By using goal programming to enhance the linear programming of Timber RAM, multiple decision criteria were incorporated in the timber management planning of a National Forest in the southeastern United States. Combining linear and goal programming capitalizes on the advantages of the two techniques and produces operationally feasible solutions. This enhancement may also be applicable to linear ...

This paper uses nonlinear regression, Artificial Neural Network (ANN) and Genetic Programming (GP) approaches for predicting an important tangible issue i.e. scours dimensions downstream of inverted siphon structures. Dimensional analysis and nonlinear regression-based equations was proposed for estimation of maximum scour depth, location of the scour hole, location and height of the dune downs...

Rubin and Narsimhan [1984] proposed a method for formulating fuzzy priorities in goal programming. They used the concept that the membership function based on nested priorities has to be concave to solve the fuzzy goal programming problem by linear programming method. In this paper, we relax the condition of concave membership function by quasi concave membership function. We showed that the fu...

Speci cation re nement is part of formal program derivation a method by which software is directly constructed from a provably correct speci cation Because program derivation is an intensive manual exercise used for critical software systems an automated approach would allow it to be viable for many other types of software systems The goal of this research is to de termine if genetic programmin...