Applications of Ant Colony Optimization in Control Systems, Robotics and Vision | Zendy

Himanshu Jahagirdar | Zendy; Vilas Dhuri | Zendy; Pratik Bobade | Zendy; Rajani Mangala | Zendy

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Applications of Ant Colony Optimization in Control Systems, Robotics and Vision

Author(s) -

Himanshu Jahagirdar,

Vilas Dhuri,

Pratik Bobade,

Rajani Mangala

Publication year - 2019

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/ijca2019919679

Subject(s) - computer science , artificial intelligence , ant colony optimization algorithms , robotics , ant , computer vision , robot , operating system

Swarm Intelligence is driving research in multi-agent system based robotic and mobile control applications. A swarm optimization algorithmAnt Colony Optimization (ACO) provides a stochastic ‘shortest path’ approach inspired by ant colonies to obtain global solution in an optimization problem. This paper reviews the impact of ACO in robotics, computer vision, control systems and sensor networks for autonomous systems. The performance of ACO as a metaheuristic or general optimization is discussed with respect to its consequences on parameters like energy efficiency, time for convergence, route selection, etc.

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