کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
406590 678097 2014 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Reinforcement Learning strategies for A-Team solving the Resource-Constrained Project Scheduling Problem
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Reinforcement Learning strategies for A-Team solving the Resource-Constrained Project Scheduling Problem
چکیده انگلیسی

In this paper strategies for the A-Team with Reinforcement Learning (RL) for solving the Resource Constrained Project Scheduling Problem (RCPSP) are proposed and experimentally validated. The RCPSP belongs to the NP-hard problem class. To solve this problem a team of asynchronous agents (A-Team) has been implemented using the JABAT multiagent system. An A-Team is the set of objects including multiple agents and the common memory which through interactions produce solutions of optimization problems. These interactions are usually managed by a static strategy. In this paper the dynamic learning strategies are suggested. The proposed strategies based on reinforcement learning supervising interactions between optimization agents and the common memory. To validate the approach and compare strategies computational experiment has been carried out.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 146, 25 December 2014, Pages 301–307
نویسندگان
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