کد مقاله کد نشریه سال انتشار مقاله انگلیسی ترجمه فارسی نسخه تمام متن
4950261 1364283 2018 10 صفحه PDF ندارد دانلود رایگان
عنوان انگلیسی مقاله
A novel binary artificial bee colony algorithm for the set-union knapsack problem
کلمات کلیدی
Set-union knapsack problem; Artificial bee colony; Infeasible solution; Repairing and optimization;
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نظریه محاسباتی و ریاضیات
پیش نمایش صفحه اول مقاله
A novel binary artificial bee colony algorithm for the set-union knapsack problem
چکیده انگلیسی

•A novel bee colony method based on the full mapping function is proposed.•Infeasible solutions are addressed by using a greedy strategy for Knapsack problems.•The method has better results than extant approximation algorithms to solve SUKP.•The proposed generic model can be integrated with other evolutionary algorithms.

This article investigates how to employ artificial bee colony algorithm to solve Set-Union Knapsack Problem (SUKP). A mathematical model of SUKP, which is to be easily solved by evolutionary algorithms, is developed. A novel binary artificial bee colony algorithm (BABC) is also proposed by adopting a mapping function. Furthermore, a greedy repairing and optimization algorithm (S-GROA) for handling infeasible solutions by employing evolutionary technique to solve SUKP is proposed. The consolidation of S-GROA and BABC brings about a new approach to solving SUKP. Extensive experiments are conducted upon benchmark datasets for evaluating the performance of our proposed models. The results verify that the proposed approach is significantly superior to the baseline evolutionary algorithms for solving SUKP such as A-SUKP, ABCbin and binDE in terms of both time complexity and solution performance.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Future Generation Computer Systems - Volume 78, Part 1, January 2018, Pages 77-86
نویسندگان
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