On the performance of artificial bee colony (ABC) algorithm
Applied Soft Computing
Use of chaotic sequences in a biologically inspired algorithm for engineering design optimization
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Engineering optimizations via nature-inspired virtual bee algorithms
IWINAC'05 Proceedings of the First international work-conference on the Interplay Between Natural and Artificial Computation conference on Artificial Intelligence and Knowledge Engineering Applications: a bioinspired approach - Volume Part II
Rosenbrock artificial bee colony algorithm for accurate global optimization of numerical functions
Information Sciences: an International Journal
ACROA: Artificial Chemical Reaction Optimization Algorithm for global optimization
Expert Systems with Applications: An International Journal
A modified artificial bee colony algorithm
Computers and Operations Research
A global best artificial bee colony algorithm for global optimization
Journal of Computational and Applied Mathematics
A novel chemistry based metaheuristic optimization method for mining of classification rules
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Hybrid harmony search and artificial bee colony algorithm for global optimization problems
Computers & Mathematics with Applications
An efficient and robust artificial bee colony algorithm for numerical optimization
Computers and Operations Research
Artificial bee colony algorithm and pattern search hybridized for global optimization
Applied Soft Computing
Enhancing different phases of artificial bee colony for continuous global optimisation problems
International Journal of Advanced Intelligence Paradigms
A novel artificial bee colony algorithm with Powell's method
Applied Soft Computing
Chaotic swarming of particles: A new method for size optimization of truss structures
Advances in Engineering Software
Hi-index | 12.06 |
Artificial bee colony (ABC) is the one of the newest nature inspired heuristics for optimization problem. Like the chaos in real bee colony behavior, this paper proposes new ABC algorithms that use chaotic maps for parameter adaptation in order to improve the convergence characteristics and to prevent the ABC to get stuck on local solutions. This has been done by using of chaotic number generators each time a random number is needed by the classical ABC algorithm. Seven new chaotic ABC algorithms have been proposed and different chaotic maps have been analyzed in the benchmark functions. It has been detected that coupling emergent results in different areas, like those of ABC and complex dynamics, can improve the quality of results in some optimization problems. It has been also shown that, the proposed methods have somewhat increased the solution quality, that is in some cases they improved the global searching capability by escaping the local solutions.