Summary Addressing service control factors, rapid manufacturing environment change, difficulty of resource allocation evaluation, resource optimization of 3D cloud printing service in a cloud manufacturing environment, and other characteristics, this paper proposes an evaluation indicator system of innovative new product development 3D printing order task execution. The evaluation indicator has eight dimensional components, including Time (T), Quality of Service (Q), Matching (Mat), Reliability (R), Flexibility (Flex), Cost (C), Fault tolerance (Ft), and Satisfaction (Sa). It constructs a type of optimal selection model based on a Multi‐Agent 3D Cloud Printing Service Quality Evaluation and a framework of cloud service evaluation of an AHP‐TOPSIS evaluation model based on Pareto optimization, and it designs an algorithm involving hybrid multi‐objective particle swarm optimization (PSO) based on the Baldwin Effect Model. In addition, this paper verifies the effectiveness of the algorithm through an example and offers a case study designed to test its feasibility and effectiveness.

With the progress of times, our spiritual pursuit becomes higher and higher, and it is especially true among modern youth. Therefore, establishment of university culture has gradually become the focus of attention. This paper firstly quantized university culture construction into four parts: material culture construction, spiritual culture construction, system culture construction, and behavioral culture construction. It then analogized each part as one population in ecological system; established multi-population ecological model; and analyzed the interactional relations between each part. At last, this paper reached conclusions based on multi-population ecological model and analyzed the correlations among various factors of university culture construction, so as to obtain a comprehensive, scientific and healthy scheme for university culture construction.