Logic Optimization of Quantum-Dot Cellular Automata Circuits Using Ant Colony Optimization Algorithms
In this paper we discuss the problem of identifying the representation of any logic with minimum use of majority gates and inverters as these are the basic elements of Quantum-dot Cellular Automata circuits. We use ant colony optimization for continuous domain (ACOR), a novel level ACOR and a new variation of Quantum Ant Colony Optimization Algorithm (QACO) to tackle the problem. We compare the results of these with genetic algorithm and other used approaches to tackle this problem.
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Document Type: Research Article
Publication date: April 1, 2015
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- QUANTUM MATTER is a peer-reviewed interdisciplinary journal consolidating research activities in all theoretical, experimental and technological aspects dealing with fundamental structure of matter from cosmology to materials science.
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