ABSTRACT
Multi-objective programming is a mathematical programming method that has gradually developed to meet the needs of the multi-objective decision. In 1961, the American scholars A.C Harness and W. W. Coopor first put forward the concept and mathematical model of goal programming in their book Industrial Application of Management Model and Linear Programming, in order to solve an unfeasible solution of linear programming. They expressed Programming as getting close to the expected target as much as possible. In 1965, Yuji Ijiri introduced concepts, such as a priority factor for each target, weighted coefficient when analyzing the importance of various goals in the treatment of the multi-objective problem, and further improved mathematical model of goal programming. The method of expressing and solving
1 INTRODUCTION
As a sign of progress of human civilization, urbanization not only represents the development of economic and social culture in the era of industrial civilization, but an important manifestation of the improvement of human production and living standards as well. However, smooth urbanization development is not an easy thing. Together with good economic benefits to people, urbanization also has brought in a lot of negative problems, such as traffic congestion, resource waste, water resource shortage, environmental damage, deterioration of air quality, etc., which has become the first major challenge our country faces in the 21st century [1]. Therefore, promoting low-carbon development of urbanization and building low-carbon cities is an inevitable choice of urban development in the future.
