D
Durbadal Mandal
Researcher at National Institute of Technology, Durgapur
Publications - 454
Citations - 4262
Durbadal Mandal is an academic researcher from National Institute of Technology, Durgapur. The author has contributed to research in topics: Particle swarm optimization & Antenna array. The author has an hindex of 27, co-authored 409 publications receiving 3297 citations. Previous affiliations of Durbadal Mandal include Hindustan College of Science and Technology.
Papers
More filters
Journal ArticleDOI
Cat Swarm Optimization algorithm for optimal linear phase FIR filter design.
TL;DR: The CSO based results confirm the superiority of the proposed CSO for solving FIR filter design problems and demonstrate that the CSO is the best optimizer among other relevant techniques, not only in the convergence speed but also in the optimal performances of the designed filters.
Journal ArticleDOI
Original Article: Design of optimal linear phase FIR high pass filter using craziness based particle swarm optimization technique
TL;DR: The results justify that the proposed optimal filter design approach using CRPSO outperforms PM, RGA and PSO, in the optimal characteristics of frequency spectrums.
Journal Article
Design of Concentric Circular Antenna Array with Central Element Feeding Using Particle Swarm Optimization with Constriction Factor and Inertia Weight Approach and Evolutionary Programing Technique
TL;DR: Among the various CCAA designs, the design containing central element and 4, 6 and 8 elements in three successive concentric rings proves to be such global optimal design set with global minimum SLL (−39.66 dB) as determined by Evolutionary Programming.
Journal ArticleDOI
Design of Concentric Circular Antenna Array with Central Element Feeding Using Particle Swarm Optimization with Constriction Factor and Inertia Weight Approach and Evolutionary Programing Technique
TL;DR: In this paper, the maximum sidelobe level (SLL) reductions without and with central element feeding in various designs of three-ring concentric circular antenna arrays (CCAA) are examined using a real-coded Evolutionary Programming (EP) to finally determine the global optimal three ring CCAA design.
Journal ArticleDOI
Craziness based Particle Swarm Optimization algorithm for FIR band stop filter design
TL;DR: An improved particle swarm optimization technique called Craziness based Particle Swarm Optimization (CRPSO) is proposed and employed for digital finite impulse response (FIR) band stop filter design.