10.26686/wgtn.12585197
Binzi Xu
Binzi
Xu
Yi Mei
Yi
Mei
Yan Wang
Yan
Wang
Zhicheng Ji
Zhicheng
Ji
Mengjie Zhang
Mengjie
Zhang
Genetic Programming with Delayed Routing for Multi-Objective Dynamic Flexible Job Shop Scheduling
Open Access Te Herenga Waka-Victoria University of Wellington
2020
Artificial Intelligence & Image Processing
Mathematical Sciences
Information and Computing Sciences
2020-06-29 23:07:22
Journal contribution
https://openaccess.wgtn.ac.nz/articles/journal_contribution/Genetic_Programming_with_Delayed_Routing_for_Multi-Objective_Dynamic_Flexible_Job_Shop_Scheduling/12585197
Dynamic Flexible Job Shop Scheduling (DFJSS) is an important and challenging problem, and can have multiple conflicting objectives. Genetic Programming Hyper-Heuristic (GPHH) is a promising approach to fast respond to the dynamic and unpredictable events in DFJSS. A GPHH algorithm evolves dispatching rules (DRs) that are used to make decisions during the scheduling process (i.e. the so-called heuristic template). In DFJSS, there are two kinds of scheduling decisions: the routing decision that allocates each operation to a machine to process it, and the sequencing decision that selects the next job to be processed by each idle machine. The traditional heuristic template makes both routing and sequencing decisions in a non-delay manner, which may have limitations in handling the dynamic environment. In this paper, we propose a novel heuristic template that delays the routing decisions rather than making them immediately. This way, all the decisions can be made under the latest and more accurate information. We propose three different delayed routing strategies, and automatically evolve the rules in the heuristic template by GPHH. We evaluate the newly proposed GPHH with Delayed Routing (GPHH-DR) on a multi-objective DFJSS that optimises the energy efficiency and mean tardiness. The experimental results show that GPHH-DR significantly outperformed the state-of-the-art GPHH methods. We further demonstrated the efficacy of the proposed heuristic template with delayed routing, which suggests the importance of delaying the routing decisions.