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ABSTRACT
| Title |
: |
Enhanced form of solving real coded numerical optimization problem using ABC algorithm with linear crossover operator |
| Authors |
: |
Shanana Gajala Qureshi, Uzma Arshi Ansari |
| Keywords |
: |
Swarm intelligence, Artificial bee colony, Genetic algorithm, Evolutionary algorithm, Numerical function optimization. |
| Issue Date |
: |
June 2012. |
| 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. |
| Page(s) |
: |
1265-1270 |
| ISSN |
: |
0975–3397 |
| Source |
: |
Vol. 4, Issue.06 |
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