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Artificial Bee Colony (ABC) algorithm is inhabitants -based flock intelligence algorithm. There are many algorithms Present for solving numeric optimization problem.ABC is based on the intellectual behaviour of honey bee flock. In this work, ABC algorithm is used with Genetic crossover machinist and tested on standard benchmark functions, and also result compared with the X-ABC algorithm with the plus of fewer organize parameters. Obtained results show that the concert of the ABC with crossover gives better results than the XABC algorithm.

iosr journal of computer engineering

An efficient and powerful advanced algorithm for solving real coded numerical optimization problem: artificial bee colony algorithm with crossover operators