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A Particle Swarm Algorithm for Solving the Multi-objective Operating Theater Layout Problem

机译:解决多目标手术室布局问题的粒子群算法

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The multi-objective Operating Theater Layout (OTL) problem consists of a given facilities of different areas to be placed in different sections of an operating theater department. The OTL problem seeks to find the layout of facilities in a hospital department in compliance with international health care accreditation standards, and to meet the internal constraints on the organizational layout. The main objectives are to minimize the total traveling costs among facilities and to maximize the desirable adjacencies among them. The paper presents a mathematical formulation to determine the optimal OTL. A Particle Swarm Optimization (PSO) algorithm is also proposed to solve approximately this NP-Hard OTL problem. The PSO algorithm employs a constructive heuristic to generate initial feasible solutions to explore by the PSO search concept to find an effective solution in an efficient computation time. The PSO approach is implemented to solve a real-life OTL instance available at Roanne hospital in France. The obtained solution was validated and approved by a senior official responsible of the OTL at the hospital.
机译:多目标手术室布局(OTL)问题由要放置在手术室部门不同部分的不同区域的给定设施组成。 OTL问题旨在找到符合国际卫生保健认证标准的医院部门设施的布局,并满足组织布局上的内部约束。主要目标是使设施之间的总旅行成本最小化,并使设施之间的理想邻接度最大化。本文提出了确定最佳OTL的数学公式。还提出了一种粒子群优化(PSO)算法来近似解决该NP-Hard OTL问题。 PSO算法采用建设性的启发式方法来生成初始可行解,以通过PSO搜索概念进行探索,从而在有效的计算时间内找到有效的解。实施PSO方法是为了解决法国Roanne医院提供的真实OTL实例。所获得的解决方案已由医院OTL负责的高级官员验证并批准。

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