Ant colony optimization for the real-time train routing selection problem

2016 ◽  
Vol 85 ◽  
pp. 89-108 ◽  
Author(s):  
Marcella Samà ◽  
Paola Pellegrini ◽  
Andrea D’Ariano ◽  
Joaquin Rodriguez ◽  
Dario Pacciarelli
Keyword(s):  
Ant Colony Optimization ◽  
Real Time ◽  
Ant Colony ◽  
Selection Problem ◽  
The Real ◽  
Train Routing

scholarly journals A Routing Filter for the Real-time Railway Traffic Management Problem Based on Ant Colony Optimization

2015 ◽  
Vol 10 ◽  
pp. 534-543 ◽  
Author(s):  
Marcella Sama‘ ◽  
Paola Pellegrini ◽  
Andrea D’Ariano ◽  
Joaquin Rodriguez ◽  
Dario Pacciarelli
Keyword(s):  
Ant Colony Optimization ◽  
Real Time ◽  
Traffic Management ◽  
Ant Colony ◽  
Management Problem ◽  
The Real ◽  
Railway Traffic

scholarly journals Train routing selection problem: Ant colony optimization versus integer linear programming

2021 ◽  
Vol 54 (2) ◽  
pp. 167-172
Author(s):  
Bianca Pascariu ◽  
Marcella Samà ◽  
Paola Pellegrini ◽  
Andrea D’Ariano ◽  
Dario Pacciarelli ◽  
...  
Keyword(s):  
Linear Programming ◽  
Ant Colony Optimization ◽  
Integer Linear Programming ◽  
Ant Colony ◽  
Selection Problem ◽  
Train Routing

scholarly journals Energy Optimization in Smart Urban Buildings Using Bio-Inspired Ant Colony Optimization

2021 ◽  
Author(s):  
Fakhri Alam Khan ◽  
Kifayat Ullah ◽  
Atta ur Rahman ◽  
Sajid Anwar
Keyword(s):  
Ant Colony Optimization ◽  
Real Time ◽  
Energy Management ◽  
Management System ◽  
Ant Colony ◽  
Consumption Pattern ◽  
Energy Management System ◽  
Electricity Cost ◽  
Home Appliances ◽  
Home Energy Management

Abstract Instead of planting new electricity generation units, there is a need to design an efficient energy management system to achieve a normalized trend of power consumption. Smart grid has been evolved as a solution, where Demand Response (DR) strategy is used to modify the nature of demand of consumer. In return, utility pay incentives to the consumer. The increasing load demand in residential area and irregular electricity load profile have encouraged us to propose an efficient Home Energy Management System (HEMS) for optimal scheduling of home appliances. In order to meet the electricity demand of the consumers, the energy consumption pattern of a consumer is maintained through scheduling the appliances in day-ahead and real-time bases. In this paper we propose a hybrid algorithm Bacterial foraging Ant colony optimization is proposed (HB-ACO) which contain both BFA and ACO properties. Primary objectives of scheduling is to shift load from On-peak hour to Off-peak hours to reduce electricity cost and peak to average ratio. A comparison of these algorithms is also presented in terms of performance parameters electricity cost, reduction of PAR and user comfort in term of waiting time. The proposed techniques are evaluated using two pricing scheme time of use and critical peak pricing. The HB-ACO shows better performance as compared to ACO and BFA which is evident from the simulation results Moreover the concept of coordination among home appliances is presented for real time scheduling. We consider this is knapsack problem and solve it through Ant colony optimization algorithm.

ACO-Based Global Optimal Transportation Path

2012 ◽  
Vol 488-489 ◽  
pp. 1680-1683
Author(s):  
Wei Hua Zhu ◽  
Ying Shen
Keyword(s):  
Ant Colony Optimization ◽  
Real Time ◽  
Shortest Path ◽  
Real Life ◽  
Optimal Transportation ◽  
Time Analysis ◽  
The Real ◽  
Real Time Analysis ◽  
Global Optimal ◽  
Simulation Results

This paper discusses how to address some issues when contemplating the global optimal transportation path (GOTP) such as dynamics, the ability of real-time analysis as well as complexity of prediction. Using shortest path methodology, this paper abstracts the real-life problem to a graphic context. Based on the solution of ant colony optimization (ACO) algorithm, the simulation indicates that this manner is efficient and effective in dealing with these problems. The indicators utilized ACO are achieved through simulation results analysis, providing the range of exact elements.

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