کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6861342 1439247 2018 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Multi-Objective Artificial Bee Colony algorithm applied to the bi-objective orienteering problem
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Multi-Objective Artificial Bee Colony algorithm applied to the bi-objective orienteering problem
چکیده انگلیسی
We propose a new evolutionary computation approach for solving the multi-objective orienteering problem. This problem has applications in different fields like routing problems or logistic problems. In our case, the final motivation is the design of individual tourist routes. The tourists have different priorities about points of interests grouped into categories (for example, cultural or leisure), so, a multi-objective solution system is needed. In order to obtain the best Pareto solutions, the Artificial Bee Colony algorithm (based on swarm intelligence) has been adapted to the multi-objective context. The performance of this approach has been compared with two previous algorithms from the literature for the bi-objective orienteering problem (P-ACO and P-VNS), in benchmark instances and real-world instances. The results indicate that this new approach is good for solving the multi-objective orienteering problem.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Knowledge-Based Systems - Volume 154, 15 August 2018, Pages 93-101
نویسندگان
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