A novel quantum algorithm for ant colony optimisation

A novel quantum algorithm for ant colony optimisation

Ant colony optimisation (ACO) is a commonly used meta-heuristic to solve complex combinatorial optimisation problems like the travelling salesman problem (TSP), vehicle routing problem (VRP) etc. However, classical ACO algorithms provide better optimal solutions but do not reduce computation time ov...

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Bibliographic Details
Main Authors: Chakrabarti, A. (Author), Dey, N. (Author), Ghosh, M. (Author), Mitra, D. (Author)
Format: Article
Language:English
Published: John Wiley and Sons Inc 2022
Subjects:
Ant colonies
ant colony optimisation
Ant colony optimization
Circuit synthesis
Colony optimization
Combinatorial optimization
Graph theory
Heuristic algorithms
QACO
quantum algorithm
Quantum algorithms
quantum ant
Quantum ant
Quantum circuit
quantum circuit synthesis
Quantum circuit synthesis
Quantum computers
quantum computing
Quantum Computing
Quantum optics
Timing circuits
Traveling salesman problem
Vehicle routing
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