Abstract: The multi-objective economic dispatch(MOED) problem aims to find a set of solutions or a compromise solution that minimizes both fuel cost and the environmental emissions. In many approaches, the ECD/EMD/MOED problems are focused on a single area of the system. However, dividing the generating into several interconnected areas it can bring several advantages such as: an increase in availability and operating security, investment reduction for new power production units, maintenance cost decrease, better economic resource planning. Because of the many advantages mentioned above, the concept of multi-area economic dispatch is stated. he multi-area dispatch problems aim to determine (during a 1h time frame) the output power of the units from each area and the transferred power (import/export) between areas so that the fuel cost (or the fuel cost together with the cost of the transferred power between several areas of the system) and the emission over the entire system to be minimum, meeting the generator contains and the power balance in each area, the unit operating restrictions. In this paper, a pareto strategy is proposed to improve CSO algorithm(MOCSO) to solve complex multi-area economic/emission dispatch (MAEED) problems. The improved CSO algorithm(MOCSO) is applied to solve the different scales multi-area economic/emission dispatch (MAEED) problems with non-smooth cost function and tie line constraints. This is the first time that the CSO algorithm combined with the pareto strategy to solve the MAEED problems. By comparing the results of MOCSO algorithm with other algorithms, the validity of MOCSO algorithm is proved. From the optimization results of MOCSO algorithm, it can be seen that MOCSO algorithm can get a more complete pareto front diagram when solving multiple target problems, and the optimization result is better than other algorithms. According to MOCSO algorithm optimization results, it can be seen that MOCSO algorithm can be used to solve the multi-objective optimization problem efficiently, which can provide more comprehensive technical solutions for the engineering and technical personnel.