Solving combinatorial optimization problems by soft computing.
Date of Issue2003
School of Electrical and Electronic Engineering
This thesis is concerned with a novel algorithm, generalized from Chaotic Simulated Annealing (CSA) by adding a decreasing random noise into the neuron inputs in CSA to combine the best feature of both stochastic simulated annealing (SSA) and CSA, i.e., stochastic chaotic simulated annealing (SCSA).
DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Nanyang Technological University