Fire Evacuation using Ant Colony Optimization Algorithm

@article{Singhal2016FireEU,
  title={Fire Evacuation using Ant Colony Optimization Algorithm},
  author={Kanika Singhal and Shashank Sahu},
  journal={International Journal of Computer Applications},
  year={2016},
  volume={139},
  pages={17-20}
}
  • K. Singhal, S. Sahu
  • Published 2016
  • Computer Science
  • International Journal of Computer Applications
ACO is one of all-powerful meta-heuristics algorithms and some researchers have expressed the strength of some applications with the algorithm the evacuation route planning is the key aspect in case of fire disaster.Ant Colony Optimization (ACO) can be used in rescue planning. Altered ACO applied as the algorithm to demonstrate the potential path during emergency rescue. Physical interference during building rescue such as blockage or disaster complication has been studied in transitional… Expand
2 Citations
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References

SHOWING 1-10 OF 19 REFERENCES
Feasible Route Determination Using Ant Colony Optimization in Evacuation Planning
The most complex aspect of people movement on emergency condition is how to select the shortest way out from multi exit ways in the multi-floors building. The purpose of this paper is to demonstrateExpand
An Optimization Method for Dynamic Evacuation Route Programming Based on Improved Ant Colony Algorithm
  • Naiwei Cheng
  • Computer Science
  • 2010 International Conference on Intelligent System Design and Engineering Application
  • 2010
TLDR
The traditional ant colony algorithm is improved in term of the Tabu list and searching termination condition to simulate the process of human evacuation within a building and the improved algorithm is effective to solve the problem of dynamic evacuation route optimization. Expand
Multi-objective ant colony optimization model for emergency evacuation
TLDR
The results show that the proposed multi-objective emergency evacuation model using ant colony optimization can make rapid, efficient and reasonable plans for complex evacuation routing problems. Expand
Multi-objective optimization model based on heuristic ant colony algorithm for emergency evacuation
TLDR
By simulating the process of pedestrian evacuation with this model, the results show the feasibility of the algorithm, so as to provide a scientific basis for guiding the real evacuation process. Expand
Multi-Objective Path Selection Model and Algorithm for Emergency Evacuation
Evacuation planning is one of the most important aspects of emergency management. Path selection is one of the fundamental problems in evacuation planning. A multi-objective mathematical model isExpand
Hierarchical multi-objective evacuation routing in stadium using ant colony optimization approach
Evacuation planning is a fundamental requirement to ensure that most people can be evacuated to a safe area when a natural accident or an intentional act happens in a stadium environment. The centralExpand
Quantum ant colony algorithm-based emergency evacuation path choice algorithm
TLDR
A novel algorithm for emergency evacuation path choice based on quantum ant colony algorithm (QACA) is proposed, and it avoids premature convergence and speeds up the convergence to the global optimal solution. Expand
Research Intelligent Fire Evacuation System Based on Ant Colony Algorithm and MapX
TLDR
Under the condition of emergency, the traditional fire evacuation system couldn't dynamically instruct the shortest and safety route, so the ant colony algorithm calculates the shortest path to control lights with dynamic instruction. Expand
Ant system: optimization by a colony of cooperating agents
TLDR
It is shown how the ant system (AS) can be applied to other optimization problems like the asymmetric traveling salesman, the quadratic assignment and the job-shop scheduling, and the salient characteristics-global data structure revision, distributed communication and probabilistic transitions of the AS. Expand
Research for optimal routing problem based on ant colony algorithm
TLDR
ACA is a new simulated bionic algorithm with robust, and it has a better progress foreground in the process of choosing the best path in traffic network. Expand
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