For lack of the basic cuckoo search algorithm in dealing with multi-objective optimizationproblems

based on the multi- objective optimized strategy such as the chaotic maping and nondominated sorting

puts forward an improved multi- objective cuckoo search (IMOCS) algorithm tosolve the multi-objective optimization and configuration problem of distributed generation. In order toincrease the diversity of initial population

using logistic chaotic maping generates the initial solution;self adaptability changes the search step to improve the searching ability and convergence speed of thealgorithm. By the simulation of IEEE33 node system verifies the validity and feasibility of the method.The result shows that the IMOCS algorithm has strong optimization capability and fast convergencespeed

can effectively solve the multi-objective optimization problem of distributed generation.