A quick artificial bee colony -qABC- algorithm for optimization problems

Artificial bee colony (ABC) algorithm is one of the most popular swarm intelligence based algorithms. ABC has been applied to solve several problems in various fields and also many researchers have attempted to improve ABC's performance by making some modifications. This works aims to model the behaviour of foragers of artificial bee colony more accurately and improve the performance of ABC algorithm in terms of local search ability. Therefore, a new definition is introduced for the onlookers of ABC. The new ABC is tested on a set of benchmark problems.

[1]  Junjie Li,et al.  Artificial Bee Colony Algorithm with Local Search for Numerical Optimization , 2011, J. Softw..

[2]  Wu Bin,et al.  Differential Artificial Bee Colony Algorithm for Global Numerical Optimization , 2011, J. Comput..

[3]  Sam Kwong,et al.  Gbest-guided artificial bee colony algorithm for numerical function optimization , 2010, Appl. Math. Comput..

[4]  Tiranee Achalakul,et al.  Job Shop Scheduling with the Best-so-far ABC , 2012, Eng. Appl. Artif. Intell..

[5]  Dervis Karaboga,et al.  AN IDEA BASED ON HONEY BEE SWARM FOR NUMERICAL OPTIMIZATION , 2005 .

[6]  Tarun Kumar Sharma,et al.  Differential Operators Embedded Artificial Bee Colony Algorithm , 2011, Int. J. Appl. Evol. Comput..

[7]  Hongzhi Liu,et al.  An improved artificial bee colony algorithm , 2013, 2013 25th Chinese Control and Decision Conference (CCDC).

[8]  Tinggui Chen,et al.  Enhancing ABC Optimization with Ai-Net Algorithm for solving project scheduling problem , 2011, ICNC.

[9]  Junjie Li,et al.  Structural inverse analysis by hybrid simplex artificial bee colony algorithms , 2009 .

[10]  Harikrishna Narasimhan,et al.  Parallel artificial bee colony (PABC) algorithm , 2009, 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC).

[11]  Milan Tuba,et al.  Parallelization of the artificial bee colony (ABC) algorithm , 2010 .

[12]  Junjie Li,et al.  An Improved Artificial Bee Colony Algorithm , 2010, 2010 2nd International Workshop on Intelligent Systems and Applications.

[13]  Magdalene Marinaki,et al.  A hybrid discrete Artificial Bee Colony - GRASP algorithm for clustering , 2009, 2009 International Conference on Computers & Industrial Engineering.

[14]  Milan Tuba,et al.  Guided artificial bee colony algorithm , 2011 .

[15]  Dervis Karaboga,et al.  A comprehensive survey: artificial bee colony (ABC) algorithm and applications , 2012, Artificial Intelligence Review.

[16]  Jeng-Shyang Pan,et al.  Enhanced Artificial Bee Colony Optimization , 2022 .

[17]  Xu Wei-bin.  A Modified Artificial Bee Colony Algorithm , 2011 .

[18]  Milan Tuba,et al.  Different approaches in parallelization of the artificial bee colony algorithm , 2011 .

[19]  Guoqiang Li,et al.  Development and investigation of efficient artificial bee colony algorithm for numerical function optimization , 2012, Appl. Soft Comput..

[20]  Yunlong Zhu,et al.  A Clustering Approach Using Cooperative Artificial Bee Colony Algorithm , 2010 .

[21]  Dervis Karaboga,et al.  Artificial bee colony algorithm , 2010, Scholarpedia.

[22]  Xu Qing.  Hybrid simplex artificial bee colony algorithm and its application in material dynamic parameter back analysis of concrete dams , 2009 .

[23]  Xiujuan Lei,et al.  Multiple Sequence Alignment Based on ABC_SA , 2010, AICI.