Abstract
Reciprocal translocation is a nature-inspired crossover operator that is proved to be a useful alternative for the conventional multipoint and uniform crossover operators. This paper compares the performance of reciprocal translocation against the well-known conventional crossover operators for the solution of provably difficult GA-deceptive functions. This study also aims to discover the linkage learning capability of reciprocal translocation since it is an important requirement to be successful on GA-deceptive functions. A number of well-known hard GA-deceptive functions are considered for experimental evaluations and several GA implementations with reciprocal translocation and other conventional crossover operators are used for their solutions. The obtained results show that the performance achieved with reciprocal translocation is much better than that of any other conventional crossover operator.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.