Hybridizing artificial bee colony with monarch butterfly optimization for numerical optimization problems

2016 ◽  
Vol 30 (1) ◽  
pp. 163-181 ◽  
Author(s):  
Waheed A. H. M. Ghanem ◽  
Aman Jantan
Keyword(s):  
Numerical Optimization ◽  
Artificial Bee Colony ◽  
Optimization Problems ◽  
Monarch Butterfly ◽  
Monarch Butterfly Optimization ◽  
Bee Colony

ARTIFICIAL BEE COLONY ALGORITHM WITH IMPROVED EXPLORATIONS: A NOVEL APPROACH FOR NUMERICAL OPTIMIZATION

2014 ◽  
Vol 13 (02) ◽  
pp. 1450010
Author(s):  
MD. SHAFIUL ALAM ◽  
MD. MONIRUL ISLAM ◽  
KAZUYUKI MURASE
Keyword(s):  
Swarm Intelligence ◽  
Numerical Optimization ◽  
Artificial Bee Colony ◽  
Optimization Problems ◽  
Adaptive Strategy ◽  
Local Optima ◽  
Selection Scheme ◽  
Abc Algorithm ◽  
Bee Colony ◽  
Novel Approach

The Artificial Bee Colony (ABC) algorithm is a recently introduced swarm intelligence algorithm that has been successfully applied on numerous and diverse optimization problems. However, one major problem with ABC is its premature convergence to local optima, which often originates from its insufficient degree of explorative search capability. This paper introduces ABC with Improved Explorations (ABC-IX), a novel algorithm that modifies both the selection and perturbation operations of the basic ABC algorithm in an explorative way. First, an explorative selection scheme based on simulated annealing allows ABC-IX to probabilistically accept both better and worse candidate solutions, whereas the basic ABC can accept better solutions only. Second, a self-adaptive strategy enables ABC-IX to automatically adapt the perturbation rate, separately for each candidate solution, to customize the degree of explorations and exploitations around it. ABC-IX is evaluated on several benchmark numerical optimization problems and results are compared with a number of state-of-the-art evolutionary and swarm intelligence algorithms. Results show that ABC-IX often performs better optimization than most other algorithms in comparison on most of the problems.

A modified surrogate-assisted multi-swarm artificial bee colony for complex numerical optimization problems

2020 ◽  
Vol 76 ◽  
pp. 103050 ◽  
Author(s):  
Liling Sun ◽  
Wendi Sun ◽  
Xiaodan Liang ◽  
Maowei He ◽  
Hanning Chen
Keyword(s):  
Numerical Optimization ◽  
Artificial Bee Colony ◽  
Optimization Problems ◽  
Bee Colony
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