论文标题
用于优化基准测试的复合索引方法，并应用于Backhaul利润最大化问题
A Composite Index Method for Optimization Benchmarking with Application to the Backhaul Profit Maximization Problem
论文作者
论文摘要
我们提出了一种多标准综合指数方法（CIM），以比较解决优化问题的替代方法的性能。在不同大小的问题实例测试时，在这种情况下，CIM在那些情况下都方便。 CIM在加权方案中考虑了问题实例大小和多个性能标准，以产生单个数字，以测量一种替代方案的相对改善。根据最终用户确定的每个维度的相对重要性给出了不同权重。我们总结了CIM成功应用于NP-HARD组合优化问题，称为Backhaul利润最大化问题（BPMP）。使用CIM，我们测试了一系列11种技术，用于改善解决方案时间，使用CPLEX解决文献中提出的两个不同的BPMP模型。
We propose a multi-criteria Composite Index Method (CIM) to compare the performance of alternative approaches to solving an optimization problem. The CIM is convenient in those situations when neither approach dominates the other when tested on different sizes of problem instances. The CIM takes problem instance size and multiple performance criteria into consideration within a weighting scheme to produce a single number that measures the relative improvement of one alternative over the other. Different weights are given to each dimension based on their relative importance as determined by the end user. We summarize the successful application of the CIM to an NP-hard combinatorial optimization problem known as the backhaul profit maximization problem (BPMP). Using the CIM we tested a series of eleven techniques for improving solution time using CPLEX to solve two different BPMP models proposed in the literature.
