Skip to main content
padlock icon - secure page this page is secure

Logic Optimization of Quantum-Dot Cellular Automata Circuits Using Ant Colony Optimization Algorithms

Buy Article:

$106.51 + tax (Refund Policy)

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.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Keywords: ANT COLONY OPTIMIZATION; INVERTER; LEVEL ACO; MAJORITY GATE; QACO; QCA

Document Type: Research Article

Publication date: April 1, 2015

More about this publication?
  • 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.
  • Editorial Board
  • Information for Authors
  • Subscribe to this Title
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more