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Articial bee Colony algorithm (ABC) is a population based
heuristic search technique used for optimization problems. ABC
is a very eective optimization technique for continuous opti
mization problem. Crossover operators have a better exploration
property so crossover operators are added to the ABC. This pa
per presents ABC with dierent types of real coded crossover op
erator and its application to Travelling Salesman Problem (TSP).
Each crossover operator is applied to two randomly selected par
ents from current swarm. Two osprings generated from crossover
and worst parent is replaced by best ospring, other parent remains
same. ABC with real coded crossover operator applied to travelling
salesman problem. The experimental result shows that our proposed
algorithm performs better than the ABC without crossover in terms
of eciency and accuracy.
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