其他摘要：The Artificial Bee Colony (ABC) algorithm is a popular swarm based algorithm inspired by the intelligent foraging behavior of honey bees. In the past, many swarm intelligence based techniques were introduced and proved their effective performance in solving various optimization problems. The exploitation of food sources is performed by onlooker bees in accordance with a proportional selection scheme that can be further modified to avoid such shortcomings as population diversity and premature convergence. In thi s paper, different selection schemes , namely , tournament selection, truncation selection, disruptive selection, linear dynamic scaling, linear ranking, sigma truncation , and exponential ranking have been used to analyze the performance of the ABC algorithm by testing on standard benchmark functions. From the simulation results, the schemes other than the standar d ABC prove their efficient performance.
其他关键词：Swarm based algorithm; artificial bee colony; optimization; selection scheme.
