The　microclimate　affects　the　quality　and　efficiency　of　outdoor　spaces　of　campuses,　especially　in　the　cold　regions　of　China.　In　this　paper,　we　propose　a　multiobjective　optimization　method　to　improve　the　thermal　comfort　of　the　outdoor　environment　of　university　campuses　in　severe　cold　regions.　We　used　morphology　data　from　41　universities　in　the　cold　region　of　China　to　create　a　layout　prototype　of　a　campus　cluster.　Multiobjective　optimization　was　used,　and　the　effects　of　sunlight,　solar　radiation,　and　wind　on　the　outdoor　thermal　comfort　in　winter　were　considered.　A　parameterized　platform　was　established　for　the　multiobjective　optimization　of　the　microclimate　of　the　simplified　model　of　the　campus.　A　multiobjective　optimization　based　on　an　evolutionary　algorithm　was　used　to　obtain　108　groups　of　nondominated　solutions.　The　optimum　outdoor　microclimate　of　the　campus　was　obtained　at　a　building　density　of　0.21-0.23,　a　plot　ratio　of　1.51-1.88,　and　a　road　width　of　11-14　m.　We　recommend　that　buildings　are　designed　based　on　the　wind　direction　in　winter　and　that　the　space　between　buildings　is　increased.