Abstract
This paper elucidates Intelligent System for stress relief through music in a complex structure of wirelessly driven Fuzzy Goal Programming (FGP) and Genetic Algorithm (GA) based performance optimized wirelessly charged electric car. It further presents under uncertainty, how the GA can be used in the process of solving a fuzzy goal programming (FGP) formulation of a wirelessly charged Solar powered Electric Car with an inbuilt state of the art entertainment system incorporating Automatic Speech Recognition (ASR) and Natural Language Understanding (NLU) technologies. The extension idea behind incorporation of Music System for stress relief is driven. In an effort through Artificial Intelligence guided System to make use of music in extension to relaxation, recreation for the therapeutic cause of individual to make them get rid of stress and tension, the present work is an attempt to develop a production system to extend further the pattern identification of regional music in this part of the globe from the erstwhile published work on measurement of recorded effect of sound wave on human brain inquest of improved attentiveness and concentration [1]. Initially, the model of the Car with all its components is presented. It is followed by a brief description of the entertainment system and it’s features. In the model formulation of the problem, the various types of goals are fuzzily described. Then, a pre-emptive priority based FGP model is developed with optimal usability. In the optimization model solution process, GA is employed in the formulated performance model of the car on the basis of the assigned priorities. In the decision process, both the GA and Fuzzy are employed so as to optimize the charging capacity with overall performance taking into consideration the issue of self-discharge. The design and constructional framework of this optimized Electric Car model is pictorially represented.
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