Adaptive Genetic Algorithm Based on Individual Similarity to Solve Multi-Objective Flexible Job-Shop Scheduling Problem

Adaptive Genetic Algorithm Based on Individual Similarity to Solve Multi-Objective Flexible Job-Shop Scheduling Problem

Aiming at the coupling of energy consumption and completion time in flexible job-shop scheduling, this paper took makespan and energy consumption as the optimization objectives, established a scheduling model, and proposed a scheduling strategy based on improved genetic algorithm. Firstly, a hybrid...

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Bibliographic Details
Main Authors: Xu Liang, Yifan Liu, Xiaolin Gu, Ming Huang, Fajun Guo
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Hybrid initialization
adaptive genetic algorithm
opposition-based learning
adaptive crossover-mutation
Online Access:https://ieeexplore.ieee.org/document/9762751/

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