Abstract In order to study price decision and advertising coordinate strategy, we divided the closed-loop supply chain into two cases including the retailer recycling and manufacturer recycling. With the impact of advertising for market demand and recycling, by using the game theory, we established two mathematical models, the results show that the manufacture recycling mode is conducive to retailer, retailer recycling mode helps manufacturer.... In order to study price decision and advertising coordinate strategy, we divided the closed-loop supply chain into two cases including the retailer recycling and manufacturer recycling. With the impact of advertising for market demand and recycling, by using the game theory, we established two mathematical models, the results show that the manufacture recycling mode is conducive to retailer, retailer recycling mode helps manufacturer. Compared to retailer recovery, the share proportion of advertising costs of retailer is smaller of manufacture recovery. The retailer advertising share proportion of manufacturer recovery is negatively correlated with the advertising recovery efficiency factor, positive correlation with the advertising and marketing efficiency factor. The retailer advertising share proportion of retailer recovery has nothing to do with the cost of advertising marketing efficiency factor, recovery efficiency factor. At last we proved the related conclusion through simulation. Read More Read Less

Abstract Complex spatial layout design problems contain mutual conflicting objectives and constraints. These types of problems can be divided into several layout sub-problems based on their structure or assemble component. The main difficulties in solving these problems lie in combinational explosion of computational complexity, engineering complexity, and pragmatic approaches in engineering practice. Recently, cooperative co-evolutionary algorithms (CCEA) have proven to be an efficient way to... Complex spatial layout design problems contain mutual conflicting objectives and constraints. These types of problems can be divided into several layout sub-problems based on their structure or assemble component. The main difficulties in solving these problems lie in combinational explosion of computational complexity, engineering complexity, and pragmatic approaches in engineering practice. Recently, cooperative co-evolutionary algorithms (CCEA) have proven to be an efficient way to solve complex engineering problems. CCEAs decompose the problem into several subproblems using a cooperative co-evolutionary multi-population architecture. Based on the framework of CCEA, this paper presents a cooperative co-evolutionary method with consistency coordination mechanisms for a complex layout design problem. This method extracts objectives from all technical requirements by analyzing the nonlinear coupling relations among the sub-problems. The method then coordinates consistency among the sub-populations during a coevolution process, and ensures all sub-populations converge on a global consistency objective. Compared with a traditional CCEA method, results show that the proposed method can improve the computational accuracy of solutions. The proposed consistency coordination mechanisms can better reduce the conflicting of the sub-populations and make all the sub-populations sustained coevolve within short runtime. Read More Read Less