Modi? Ed arti? Cial bee colony algorithm
2016-08-23
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Modified arti fi social bee colony algorithm arti fi social bee colony algorithm (ABC) is a relatively new optimization technology, which has been proved to compete with other population-based algorithms. However, there is also insuf City ABC about its solution search equation, which is good at exploring, but in exploiting the poor. Inspired by differential evolution (DE), we propose an improved solution search equation based on bee search only around improving the optimal solution using previous iterations. Then, in order to make full use of and balance the exploration of ABC equation solution search and the exploitation of the proposed solution search equation, we introduce a selective probability P and get a new search mechanism. In addition, in order to enhance the global convergence, chaotic systems and opposition based learning methods are used when the initial population is generated. The new search mechanism, as well as the proposed initialization, makes up for ABC (referred to as MABC), exclusion probability selection plan and reconnaissance bee phase modification. A set of 28 benchmark functions is tested. The results show that the performance of MABC is better than the two ABC based algorithms in solving complex numerical optimization problems.
matlab
算法
蜂群
modiedarticial
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