Dynamic Scheduling with Genetic Programming

2006 ◽  
pp. 73-84 ◽  
Author(s):  
Domagoj Jakobović ◽  
Leo Budin
Keyword(s):  
Genetic Programming ◽  
Dynamic Scheduling

Multitask Genetic Programming-Based Generative Hyperheuristics: A Case Study in Dynamic Scheduling

2021 ◽  
pp. 1-14
Author(s):  
Fangfang Zhang ◽  
Yi Mei ◽  
Su Nguyen ◽  
Kay Chen Tan ◽  
Mengjie Zhang
Keyword(s):  
Genetic Programming ◽  
Dynamic Scheduling

scholarly journals A Hyper Heuristic Algorithm Based Genetic Programming for Steel Production Scheduling of Cyber-Physical System-ORIENTED

Mathematics ◽  
2021 ◽  
Vol 9 (18) ◽  
pp. 2256
Author(s):  
Xiaowu Chen ◽  
Guozhang Jiang ◽  
Yongmao Xiao ◽  
Gongfa Li ◽  
Feng Xiang
Keyword(s):  
Genetic Programming ◽  
Heuristic Algorithm ◽  
Production Scheduling ◽  
Physical System ◽  
Dynamic Scheduling ◽  
Steel Production ◽  
Intelligent Manufacturing ◽  
Selection Strategy ◽  
Cyber Physical System ◽  
Scheduling Problems

Intelligent manufacturing is the trend of the steel industry. A cyber-physical system oriented steel production scheduling system framework is proposed. To make up for the difficulty of dynamic scheduling of steel production in a complex environment and provide an idea for developing steel production to intelligent manufacturing. The dynamic steel production scheduling model characteristics are studied, and an ontology-based steel cyber-physical system production scheduling knowledge model and its ontology attribute knowledge representation method are proposed. For the dynamic scheduling, the heuristic scheduling rules were established. With the method, a hyper-heuristic algorithm based on genetic programming is presented. The learning-based high-level selection strategy method was adopted to manage the low-level heuristic. An automatic scheduling rule generation framework based on genetic programming is designed to manage and generate excellent heuristic rules and solve scheduling problems based on different production disturbances. Finally, the performance of the algorithm is verified by a simulation case.

Dynamic Scheduling of Post-Earthquake Emergency Material Based on the Baseline Perspective

CICTP 2020 ◽  
2020 ◽  
Author(s):  
Ziqi Tang ◽  
Hui Hu ◽  
Guangyuan Yang ◽  
Rundong Wu
Keyword(s):  
Dynamic Scheduling

Classification of EEG Signals using Genetic Programming

2017 ◽  
Author(s):  
Marco Antonio Meggiolaro ◽  
Felipe Rebelo Lopes
Keyword(s):  
Genetic Programming ◽  
Eeg Signals
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