Benhala, B. and Kotti, M. and Ahaitouf, A. and Fakhfakh, M. (2014) Backtracking ACO for RF-circuit design optimization. IGI Global, pp. 158-179.

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Abstract

Sizing analog, mixed-signal, and particularly radio-frequency circuits generally relies on the experience of the designer. Metaheuristics have been recently proposed, and it has been shown that they can arguably replace the classical iterative simulation-based trial/error approaches. Among the most known metaheuristics, Ant Colony Optimization (ACO) has already successfully been used to deal with analog circuit performance optimization. Despite the fact that ACO is robust and has a good intrinsic intensive research strategy, it suffers from its greedy requirement in computation time. In this chapter, the authors deal with the improvement of the ACO technique by integrating in this algorithm a backtracking search technique that has the role to act on the ratio of the accumulated pheromones, thus reducing the computation time. The new algorithm is called BA-ACO. Performances of BA-ACO are highlighted through some RF-applications. ADS simulation results are given to show the validity of the proposed algorithm. © 2015, IGI Global. All rights reserved.

Item Type: Book
Uncontrolled Keywords: Artificial intelligence; Heuristic algorithms; Heuristic programming; Integrated circuit manufacture; Iterative methods; Optimization; Timing circuits, Ant Colony Optimization (ACO); Backtracking search; Circuit performance; Computation time; Intensive research; Iterative simulation; Radio frequency circuit; RF circuit design, Ant colony optimization
Subjects: Engineering
Divisions: SCIENTIFIC PRODUCTION > Engineering
Depositing User: Administrateur Eprints Administrateur Eprints
Last Modified: 31 Jan 2020 15:47
URI: http://eprints.umi.ac.ma/id/eprint/3298

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