TY - JFULL
AU - Taisir Eldos and Aws Kanan and Waleed Nazih and Ahmad Khatatbih
PY - 2015/2/
TI - Adapting the Chemical Reaction Optimization Algorithm to the Printed Circuit Board Drilling Problem
T2 - International Journal of Computer, Electrical, Automation, Control and Information Engineering
SP - 246
EP - 252
EM - eldos@sau.edu.sa
VL - 9
SN - 1307-6892
UR - http://waset.org/publications/10000398
PU - World Academy of Science, Engineering and Technology
NX - International Science Index 97, 2015
N2 - Chemical Reaction Optimization (CRO) is an
optimization metaheuristic inspired by the nature of chemical
reactions as a natural process of transforming the substances from
unstable to stable states. Starting with some unstable molecules with
excessive energy, a sequence of interactions takes the set to a state of
minimum energy. Researchers reported successful application of the
algorithm in solving some engineering problems, like the quadratic
assignment problem, with superior performance when compared with
other optimization algorithms. We adapted this optimization
algorithm to the Printed Circuit Board Drilling Problem (PCBDP)
towards reducing the drilling time and hence improving the PCB
manufacturing throughput. Although the PCBDP can be viewed as
instance of the popular Traveling Salesman Problem (TSP), it has
some characteristics that would require special attention to the
transactions that explore the solution landscape. Experimental test
results using the standard CROToolBox are not promising for
practically sized problems, while it could find optimal solutions for
artificial problems and small benchmarks as a proof of concept.
ER -