Soft computing theories and techniques their uses in solving computing and optimization problems

Abstract

This thesis intended to present the Soft Computing techniques and their applications in the field of optimization. Here this concern research focus on two well known Soft Computing techniques named as Fuzzy Logic System and Neural Fuzzy System and find their application in engineering optimization. newlineIt proposed three systems namely fuzzified employability assessment system, fuzzified scheduling and fuzzified ducting system. The employability is calculated with the help of three employability skills named as Education, Personal Development and Understanding Power in employability assessment system. These three skills take as input in fuzzy logic and calculate the employability as output. This thesis also suggests the design and implementation of fuzzy logic control based CPU scheduling and fuzzy logic based job shop scheduling. In the design of CPU scheduling it make use of suitable linguistic variables as input and calculate the output as crisp value for new priority. On the other hand the job shop scheduling deals with some fuzzy logic rules and these rules are based on each operation time of a job. It calculates a new value of execution with the help of operation time of each job for combination of two machines. newline