Application of the ant colony search algorithm to short-term generation scheduling problem of thermal units

2002 ◽  
Author(s):  
In-Keun Yu ◽  
C.S. Chou ◽  
Y.H. Song
Keyword(s):  
Search Algorithm ◽  
Ant Colony ◽  
Scheduling Problem ◽  
Short Term ◽  
Generation Scheduling

scholarly journals A Gradient-Based Cuckoo Search Algorithm for a Reservoir-Generation Scheduling Problem

Algorithms ◽  
2018 ◽  
Vol 11 (4) ◽  
pp. 36 ◽  
Author(s):  
Yu Feng ◽  
Jianzhong Zhou ◽  
Li Mo ◽  
Chao Wang ◽  
Zhe Yuan ◽  
...  
Keyword(s):  
Search Algorithm ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Scheduling Problem ◽  
Generation Scheduling ◽  
Gradient Based

scholarly journals Domain Partition of the Hydro Production Function for Solving Efficiently the Short-Term Generation Scheduling Problem

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Brunno H. Brito ◽  
Erlon C. Finardi ◽  
Fabricio Y. K. Takigawa ◽  
Pierry L. R. Nogueira ◽  
Douglas T. S. A. Morais ◽  
...  
Keyword(s):  
Production Function ◽  
Scheduling Problem ◽  
Short Term ◽  
Generation Scheduling ◽  
Domain Partition

scholarly journals An Improved Ant Colony Optimized Tabu Search Algorithm for Makespan Improvement in Job Shop

2019 ◽  
Vol 9 (2) ◽  
pp. 670-674
Keyword(s):  
Tabu Search ◽  
Completion Time ◽  
Job Shop ◽  
Short Term Memory ◽  
Search Algorithm ◽  
Ant Colony ◽  
Rollback Recovery ◽  
Short Term ◽  
Term Memory ◽  
Recovery Technique

In industries, the completion time of job problems is increased drastically in the production unit. In many existing kinds of research, the completion time i.e. makespan of the job is minimized using straight paths which is time-consuming. In this paper, we addressed this problem using an Improved Ant Colony Optimization and Tabu Search (ACOTS) algorithm by identifying the fault occurrence position exactly to rollback. Also, we used a short term memory-based rollback recovery technique to roll back to its own short term memory to reduce the completion time of the job. Short term memory is used to visit the recent movements in Tabu search. Our proposed ACOTS-Cmax approach is efficient and consumed less completion time compared to the ACO algorithm

An adaptive chaotic differential evolution for the short-term hydrothermal generation scheduling problem

2010 ◽  
Vol 51 (7) ◽  
pp. 1481-1490 ◽  
Author(s):  
Youlin Lu ◽  
Jianzhong Zhou ◽  
Hui Qin ◽  
Ying Wang ◽  
Yongchuan Zhang
Keyword(s):  
Differential Evolution ◽  
Scheduling Problem ◽  
Short Term ◽  
Generation Scheduling
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