Reactor network synthesis optimization is an important means to improve the whole economic efficiency and environmental performance in chemical industry.The methods for reactor network synthesis optimization mainly include attainable region approach

derivative analytic approach

approaches based on superstructure optimization

approaches based on targets

empirical deduction method and distributed parameter method.However

there are very few papers on multi-objective optimization for reactor network synthesis.The processes generally have multiple objective functions that are conflicting in nature

so single objective optimization technique is not an appropriate approach.In this study

the multi-objective optimization model was established by using the distributed parameter method with maximizing economic benefits and minimizing environmental impact as objectives

and non-dominated sorting genetic algorithm(NSGA-Ⅱ) was used to obtain a Pareto optimal set.