A Hybrid Optimization Method Mixing Metaheuristics and Mathematical Programming Techniques Based on A Mixed Integer Programming Model
-
- Kosuke Nakata
- Toyama Prefectural University
-
- Sawaeda Yoshiki
- Toyama Prefectural University
-
- Tsunoda Yuya
- Toyama Prefectural University
-
- Sakakibara Kazutoshi
- Toyama Prefectural University
-
- Nakamura Masaki
- Toyama Prefectural University
Bibliographic Information
- Other Title
-
- 混合整数計画モデルに基づくメタヒューリスティックスと数理計画法のハイブリッド型最適化技法
- Machine Scheduling Problems Considering Workloads of Operaters
- 作業者の働き方を考慮した機械加工スケジューリング
Abstract
<p>We address a scheduling problem on CNC machines. In this problem, a human operator sets some workpieces and their designated jigs on pallets and installs these pallets on the CNC machine in order. The entire schedule of both CNC machines and human operators is modeled into a class of job shop scheduling problems and represented as a mixed integer programming model. We design a new optimization method that hybridizes metaheuristics and mathematical programming to obtain near-optimal solutions at a reasonable computational cost. We examine the potential of our method through some numerical experiments using real-world data from machine tool manufacturers.</p>
Journal
-
- Transaction of the Japanese Society for Evolutionary Computation
-
Transaction of the Japanese Society for Evolutionary Computation 12 (3), 61-72, 2021
The Japanese Society for Evolutionary Computation
- Tweet
Keywords
Details 詳細情報について
-
- CRID
- 1390009294965240064
-
- NII Article ID
- 130008141287
-
- ISSN
- 21857385
-
- Text Lang
- ja
-
- Data Source
-
- JaLC
- CiNii Articles
-
- Abstract License Flag
- Disallowed