Enhanced form of solving real coded numerical optimization problem using ABC algorithm with linear crossover operator

Journal Title: International Journal on Computer Science and Engineering - Year 2012, Vol 4, Issue 6

Abstract

Artificial Bee Colony (ABC) algorithm is population-based swarm intelligence algorithm. There are many algorithms Present for solving numeric optimization problem.ABC is based on the intellectual behaviour of honey bee crowd. 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 advantage of fewer organize Parameters. Obtained results show that the performance of the ABC with crossover gives better results than the X-ABC algorithm.

Authors and Affiliations

Mrs. Shanana Gajala Qureshi , Mrs. Uzma Arshi Ansari

Keywords

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  • EP ID EP124923
  • DOI -
  • Views 103
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How To Cite

Mrs. Shanana Gajala Qureshi, Mrs. Uzma Arshi Ansari (2012). Enhanced form of solving real coded numerical optimization problem using ABC algorithm with linear crossover operator. International Journal on Computer Science and Engineering, 4(6), 1265-1270. https://europub.co.uk/articles/-A-124923