基于约束多目标优化的医院急诊科室布局

Emergency department is an important part of the hospital, improvement of service quality in the emergency department means much to the hospital. Hospital emergency layout is a problem aiming at an optimized layout based on original layout. It is not only care about patient flow cost, but also department closeness and rearrangement cost. In this paper,we used MOEA/D to solve the problem to get an optimized layout. The algorithm used mathematical programming method to decompose a multi-objective problem into many subproblems, and then used evolutionary algorithm to optimize these subproblems simutaneously. For constrained multi-objective problems, MOEA/D can also solve them with constraint handling technique. The experiment results show that MOEA/D can get an optimized layout in a limited run time, decreased flow cost when taking account of relationship element, increased quality of service for the hospital emergency department.