Artificial Bee Colony Algorithm for Guiding the Accessibility Optimization Problem of a Guide Sign System

CICTP 2016 ◽  
2016 ◽  
Author(s):  
Jian Zheng ◽  
Min Huang ◽  
Fang Liu ◽  
Xu Zhang
Keyword(s):  
Artificial Bee Colony Algorithm ◽  
Optimization Problem ◽  
Artificial Bee Colony ◽  
Bee Colony ◽  
Sign System

Study on Optimal Method for PID Parameter Based on Artificial Bee Colony Algorithm

2014 ◽  
Vol 624 ◽  
pp. 454-459 ◽  
Author(s):  
Guang Chun Li ◽  
Ping Yan ◽  
Sui Er Wang
Keyword(s):  
Control System ◽  
Parameter Optimization ◽  
Artificial Bee Colony Algorithm ◽  
Optimization Problem ◽  
Artificial Bee Colony ◽  
System Research ◽  
Optimal Method ◽  
Bee Colony ◽  
Optimization Control ◽  
Long Time

The PID parameter optimization has been a hot topic of control system research. Artificial bee colony algorithm is used to optimize the PID parameters of control system, and gives the PID parameter optimization process of the traditional artificial bee colony algorithm. Aiming at the optimization problem of long time, the improved artificial bee colony algorithm was put forward. The simulation results show that the improved artificial bee colony algorithm can significantly shorten the time of PID parameter optimization, control and better optimization accuracy.

Multi-Objective Artificial Bee Colony Algorithm for Multi-Echelon Supply Chain Optimization Problem

2017 ◽  
Vol 8 (4) ◽  
pp. 76-89 ◽  
Author(s):  
Mayank Gupta ◽  
Anirban Kundu ◽  
Vipul Gupta
Keyword(s):  
Supply Chain ◽  
Artificial Bee Colony Algorithm ◽  
Optimization Problem ◽  
Artificial Bee Colony ◽  
Supply Chain Optimization ◽  
Successful Operation ◽  
Chain Management ◽  
Multi Objective ◽  
Bee Colony ◽  
Chain Problem

Supply Chain Management has become an integrated part of today's industries. Advancement in technology in this field is the key to the successful operation of businesses. Many techniques and algorithms have a risen dealing with the challenging problems of present industry. In this paper, we have deployed an Artificial Bee Colony algorithm to solve a multi-echelon, multi-objective supply chain problem. Also, we have explained the working of the algorithm while applying it to our problem through various mathematical formulations to get a set of results.

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