Enterprise benefit game model of collaborative supply chain in logistics industry park

Abstract

Multi-objective harmony optimization algorithm dominated by α in negotiation supply chain of self-adaptive weighted constraint penalty is proposed for high dimension of objective optimization and low algorithm accuracy and computational efficiency in the collaborative supply chain between enterprises in Logistics Industry Park. Firstly, the collaborative scheduling model of supply chain is researched, the collaborative scheduling multi-objective optimization model is constructed, the single collaborative scheduling optimization model is established with the method of self-adaptive weight, and the collaborative scheduling multi-objective compensation model is set up by means of integrated constraint; secondly, the multi-objective evolutionary algorithm is improved, elite gradient selection strategy dominated by α is constructed for the problem of missing guidance in Pareto solution, and multi-objective harmony search optimization algorithm dominated by α is established by combining with harmony search algorithm; finally, scheduling effect of distributors is improved and good results of α dominating set is obtained under the premise that the manufacturers scheduling is ensured.