Memetic search in Artificial Bee Colony algorithm with fitness based position update

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原文链接

NETL

外文摘要：Artificial Bee Colony (ABC) algorithm is one of the latest addition in swarm intelligence based nature inspired algorithm (NIA) which has been proved a competitive algorithm with some popular nature-inspired algorithms。 However， it is noticed that the ABC algorithm prefers exploration of search space at the cost of the exploitation of better solutions。 This paper presents a hybrid of memetic search in ABC and fitness based position update in ABC。 It is a self adaptive fitness based position update strategy in which the perturbation in the solution is based on fitness of the solution and step size controlled by golden section search。 The proposed strategy applies memetic search process in ABC and update position according to fitness of individuals。 The proposed algorithm named as Memetic search in ABC algorithm with fitness based position update (MFPABC)。

外文关键词：

Artificial bee colonyEngineering optimization problemsGolden section searchMemetic algorithmNature inspired computingSwarm intelligence

作者：

Kumar, Sandeep、Sharma, Vivek Kumar、Kumari, Rajani

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作者单位：

Faculty of Engineering and Technology, Jagannath University, Jaipur, India

会议名称：

IEEE International Conference on Recent Advances and Innovations in Engineering

会议地点：

Jaipur(IN)

会议母体文献：

IEEE International Conference on Recent Advances and Innovations in Engineering

页码：

1-6

出版时间：

2014

DOI：

10.1109/ICRAIE.2014.6909301