There have been signi®cant advances in the theory of goal programming (GP) in recent years, particularly in the area of intelligent modelling and solution analysis. The intention of this paper is to provide an overview of these developments, to detail and assess the current state-of-the-art in the subject, and to highlight areas which seem promising for future research. Modelling techniques suc...

Because the purchasing department can play a key role in cost reduction, supplier selection and order allocation are the most important functions of purchasing management. In view of its complexity, it will be focused especially on the final selection stage that consists of determining the best mixture of suppliers and allocating orders among them so as to satisfy different purchasing requireme...

In this paper, optimal control for stochastic linear quadratic singular neuro Takagi–Sugeno (T-S) fuzzy system with singular cost is obtained using genetic programming(GP). To obtain the optimal control, the solution of matrix Riccati differential equation (MRDE) is computed by solving differential algebraic equation (DAE) using a novel and nontraditional GP approach. The obtained solution in t...

This paper deals with the adaptation to fuzzy goal programming of the most used methods to formulate, as a linear programming problem, a classic goal programming problem with piecewise linear penalty functions. Up to now, the literature has been only dealing with the adaptation of the Charnes and Cooper’s method. In this paper we show that the mentioned adaptations are not completely correct. W...

This chapter describes recent advances in genetic programming of machine code. Evolutionary program induction of binary machine code is one of the fastest GP methods and the most well studied linear approach. The technique has previously been known as Compiling Genetic Programming System (CGPS) but to avoid confusion with methods using an actual compiler and to separate the system from the meth...

A very useful multi-objective technique is goal programming. There are many methodologies of goal programming such as weighted goal programming, min-max goal programming, and lexicographic goal programming. In this paper, weighted goal programming is reformulated as goal programming with logarithmic deviation variables. Here, a comparison of the proposed method and goal programming with weighte...

much research hasn’t been done in the area of project selection in the public sector. in this paper, we tried to choose projects in the public sector, and a linear programming model is presented. in an effort to build the model, the decision criteria were identified using the delphi method and then the criteria were reviewed at conceptual combining. the model was constructed in a linear, goal a...

this paper presents a fuzzy goal programming (fgp) methodology for solving bi-level quadratic programming (blqp) problems. in the fgp model formulation, firstly the objectives are transformed into fuzzy goals (membership functions) by means of assigning an aspiration level to each of them, and suitable membership function is defined for each objectives, and also the membership functions for vec...