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[Author] Ali LALBAKHSH(2hit)

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  • Microstrip Hairpin Bandpass Filter Using Modified Minkowski Fractal-Shape for Suppression of Second Harmonic

    Ali LALBAKHSH  Abbas Ali LOTFI NEYESTANAK  Mohammad NASER-MOGHADDASI  

     
    PAPER-Microwaves, Millimeter-Waves

      Vol:
    E95-C No:3
      Page(s):
    378-381

    In this paper, a novel microstrip hairpin-line bandpass filter which employs a modified Minkowski fractal shape is proposed. Although conventional hairpin-line filters are popular for RF front ends, they suffer from undesired spurious responses located at the second harmonic, which causes asymmetry in the upper skirt band. By proper design, the second harmonic of fractal filters can be significantly suppressed through the use of fractal shape. To validate this novel geometry, the proposed filters are fabricated and measured. Simulated results are in good agreement with measured results.

  • An Improved Model of Ant Colony Optimization Using a Novel Pheromone Update Strategy

    Pooia LALBAKHSH  Bahram ZAERI  Ali LALBAKHSH  

     
    PAPER-Fundamentals of Information Systems

      Vol:
    E96-D No:11
      Page(s):
    2309-2318

    The paper introduces a novel pheromone update strategy to improve the functionality of ant colony optimization algorithms. This modification tries to extend the search area by an optimistic reinforcement strategy in which not only the most desirable sub-solution is reinforced in each step, but some of the other partial solutions with acceptable levels of optimality are also favored. therefore, it improves the desire for the other potential solutions to be selected by the following artificial ants towards a more exhaustive algorithm by increasing the overall exploration. The modifications can be adopted in all ant-based optimization algorithms; however, this paper focuses on two static problems of travelling salesman problem and classification rule mining. To work on these challenging problems we considered two ACO algorithms of ACS (Ant Colony System) and AntMiner 3.0 and modified their pheromone update strategy. As shown by simulation experiments, the novel pheromone update method can improve the behavior of both algorithms regarding almost all the performance evaluation metrics.