کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7542023 1489081 2015 28 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Hybrid teaching-learning-based optimization algorithms for the Quadratic Assignment Problem
ترجمه فارسی عنوان
الگوریتم های بهینه سازی مبتنی بر یادگیری ترکیبی برای یادگیری برای مسئله اختصاص درجه دوم
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی صنعتی و تولید
چکیده انگلیسی
Teaching-Learning-Based Optimization (TLBO) is a novel swarm intelligence metaheuristic that is reported as an efficient solution method for many optimization problems. It consists of two phases where all individuals are trained by a teacher in the first phase and interact with classmates to improve their knowledge level in the second phase. In this study, we propose a set of TLBO-based hybrid algorithms to solve the challenging combinatorial optimization problem, Quadratic Assignment. Individuals are trained with recombination operators and later a Robust Tabu Search engine processes them. The performances of sequential and parallel TLBO-based hybrid algorithms are compared with those of state-of-the-art metaheuristics in terms of the best solution and computational effort. It is shown experimentally that the performance of the proposed algorithms are competitive with the best reported algorithms for the solution of the Quadratic Assignment Problem with which many real life problems can be modeled.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Industrial Engineering - Volume 85, July 2015, Pages 86-101
نویسندگان
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