This paper proposes a genetic programming system (GPS) to both predict and program deep beam strength. The soft prediction is to provide estimated results for problems and the soft programming is to represent problems with meaningful formulas. In proposed GPS, two models of genetic programming (GP) and weighted genetic programming (WGP) are involved. GP is structured of a tree topology, inputs,...

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...

The aim of this study is to compare three mathematical programing models used for sustainable land and farm management. sample the comparison was 219 agricultural holdings participating as beneficiaries measure ‘Modernization holdings’ in Rural Development Plan at Region Central Macedonia Greece. Using crop plan these farms programming calculate optimum solution under different conflicting goal...

In general, small-scale vegetables farmers experience problems in improving the safety and quality of vegetables supplied to high-class consumers in modern retailers. They also lack of information to access market. The farmers group and/or cooperative (FGC) should be able to assist its members by providing training in handling and packing vegetables and enhancing marketing capabilities to sell ...

majority of models in location literature are based on assumptions such as point demand, absence of competitors, as well as monopoly in location, products, and services. however in real-world applications, these assumptions are not well-matched with reality. in this study, a new mixed integer nonlinear programming model based on weighted goal programming approach is proposed to maximize the cap...