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This paper presents an improved version of the recently proposed Self Regulating Particle Swarm Optimization (SRPSO) algorithm referred to as improved Self Regulating Particle Swarm Optimization (iSRPSO) algorithm. In the iSRPSO algorithm, the last two least performing particles are observed with different perception and they adopt a different learning strategy for velocity update. These particles...
This paper presents a new particle swarm optimization (PSO) algorithm incorporating the concept of mentoring in the learning process for finding the optimum solution, referred to as a Mentoring based Particle Swarm Optimization (MePSO) algorithm. In human learning principles, mentoring provides both self and social cognizance through guidance, direction and momentum for the learners. Such a mentoring...
The basic theory of least square lattice filters and their use in identification of structural dynamics systems is summarized. Thereafter, this theory is applied to a two-dimensional grid structure made of overlapping bars. Previously, this theory has been applied to an integral beam. System identification results are presented for both simulated and experimental tests and they are compared with those...
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