الفهرس 
Designing an optimal resources allocation system using de novo programming for the urban planning
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Abstract
The resource allocation plays an important role for any organization’s success. It is usually applied for urban planning and development for better results. The environment of urban planning is multiple and the resources in the real world are limited. Nowadays, a huge range of operational and research activities in different fields of urban planning and development are consisted of decision making and resource allocation problems. Urban planning is a good field for using the optimality techniques that deal with multiple criteria and operations within an optimization decision. The constraints associated with these projects are both economic and social. The objectives in urban planning are varying. In new housing developments, profit is usually the motive for undertaking the project. In the remaining categories, the goals involve social, political, economic, and cultural considerations. The notion of optimality and the process of optimization are pivotal to the areas of economics, engineering, as well as management and business, etc. Most operations research methodologies are concentrated on the redesigned and improved function of existing systems. Very little methodologies and efforts are devoted to design systems such as De Novo. Using De Novo programming, several approaches for examining planning problems are described where the objective is not simply to optimize a given system, but to design an optimal system. Both single and multiple objective linear programming models are used to illustrate the concept of the De Novo programming