Application of Optimal Scheduling Model Based on Improved Genetic Algorithm in Electric Power Mobile Operation
Mobile operation belongs to the innovation of a business model. At present, the management form of mobile operation is still in manual management, and there are many problems in manual management. In order to solve the current situation, an optimized scheduling model for power mobile jobs based on i...
Saved in:
Main Authors: | Rui Fan, Huiying Jing, Zhixin Jing |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2024-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10400483/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Proposition for Path Loss Prediction Models with the Inclusion of Altitude Parameter and Optimization Through Evolutionary Algorithms
by: Evandro M. Jorge Júnior, et al.
Published: (2025-02-01) -
A Genetic Algorithm to Minimize the Total Tardiness for M-Machine Permutation Flowshop Problems
by: Chia-Shin Chung, et al.
Published: (2012-01-01) -
The analysis of machine scheduling problem algorithm
by: Julius Simonavičius, et al.
Published: (2023-09-01) -
Neural network inspired efficient scalable task scheduling for cloud infrastructure
by: Punit Gupta, et al.
Published: (2024-01-01) -
Losses of electrical energy in electrical networks
by: G. Yu. Kiselyov, et al.
Published: (2023-02-01)