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We present an application of a genetic algorithm (GA) based method to the design of hide-unloading job, an asymmetric lifting task in shoe industry of Agra, India. In India, which has the second largest shoe industry in the world, it is labor intensive and concentrated in the small and cottage industry sector with Agra being a major production hub. Due to awkward postures and high load handling in...
This paper deals speed control of a DC motor using fractional-order control. Fractional calculus provides novel and higher performance extensions for fractional order proportional integral and derivative (FOPID) controller. In this paper, the parameters of the FOPID controller are optimally learned by using Genetic Algorithm (GA), and the optimization performance target is chosen as the integral of...
Frequency is an important parameter in power system monitoring, control and protection. This paper shows how a combination of neural networks and genetic algorithm can be used to estimate power system frequency. Neural networks on the other hand offer great advantages in learning, adaptation, fault tolerance and parallelism. Genetic algorithm is a parallel global search technique that emulates natural...
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