3th WCSET-2014 at Nepal
Keynote Session:
Title:
Evolutionary Computation with Variable length Chromosome
for the Design of Fuzzy Logic System
Authors:
R. Rajesh
Abstract:
Evolutionary computing (EC) is an optimization technique
inspired by the Darwinian’s concept of evolution subject
to crossover and mutation in a selective environment
where only the fittest will survive. EC is one of the
major components of softcomputing. EC has seen its
application in all most all fields of science and social
science due to its ability for providing simple,
powerful, and derivative free, optimization technique.
Once we think about fuzzy systems having a set of rules,
there is a high need of optimizing (i) the number of
membership functions (MFs), (ii) position of MFs, (iii)
left/right spread of MFs and, (iv) the number of rules.
Hence there is a need of having variable length
chromosome to optimize the number of membership
functions or to optimize the number of rules. This paper
presents the current state of art in evolutionary
computation with variable length chromosome for the
design of fuzzy logic system. Simulation of benchmarking
example for the optimization of number of membership
functions (which intern optimizes the number of rules)
shows it effectiveness.
Keywords: Evolutionary
algorithm, Variable length chromosome, Fuzzy logic
Systems, Evolutionary algorithm with Variable Length
Chromosome (EAVLC)
Pages:
063-067