Self-tuning Optimization to Compatible the Delivery and Low Energy Consumption

Author:

Mao Chending1,Lin Jia1,Arima Sumika1

Affiliation:

1. University of Tsukuba,Tsukuba,Japan

Publisher

IEEE

Reference6 articles.

1. A multi-objective genetic algorithm for optimisation of energy consumption and shop floor production performance;ying;International Journal of Production Economics 179 (2016),0

2. Multi-criteria optimization of n-step hybrid flow-shop scheduling;lin;Proceedings of the 2022 International Symposium on Flexible Automation ISFA,0

3. Optimization of Multi-objective Function of n-step Hybrid Flow shop Scheduling;lin;Proc International Symposium on Semiconductor Manufacturing (ISSM) 2007,2020

4. Self-tuning portfolio-based Bayesian optimization

5. Applications on hybrid flow-shop scheduling under dynamic constraints of queue time and capacities;tanaka;Proceedings of Joint Symposium of e-Manufacturing and Design Collaboration Symposium and ISSM,0

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