کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
481944 | 1446192 | 2007 | 17 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: SMS-EMOA: Multiobjective selection based on dominated hypervolume SMS-EMOA: Multiobjective selection based on dominated hypervolume](/preview/png/481944.png)
The hypervolume measure (or SS metric) is a frequently applied quality measure for comparing the results of evolutionary multiobjective optimisation algorithms (EMOA). The new idea is to aim explicitly for the maximisation of the dominated hypervolume within the optimisation process. A steady-state EMOA is proposed that features a selection operator based on the hypervolume measure combined with the concept of non-dominated sorting. The algorithm’s population evolves to a well-distributed set of solutions, thereby focussing on interesting regions of the Pareto front. The performance of the devised SSmetric selection EMOA (SMS-EMOA) is compared to state-of-the-art methods on two- and three-objective benchmark suites as well as on aeronautical real-world applications.
Journal: European Journal of Operational Research - Volume 181, Issue 3, 16 September 2007, Pages 1653–1669