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A Modified Artificial Bee Colony Algorithm for Solving Optimization Problems
| Content Provider | Semantic Scholar |
|---|---|
| Author | Chang, Wei-Der Pan, Shan-Cheng Lee, Ray-Jer Ku, Cheng-Hua |
| Copyright Year | 2014 |
| Abstract | In this paper, we develop an improved version of artificial bee colony (ABC) algorithm for solving the numerical optimization problem. In the proposed algorithm, the uniformly random number considered in the formula of generating a new food source is replaced by the chaotic random number which is provided from the Chen’s system. To show the feasibility of the proposed scheme, a function minimization problem with constrained conditions is simulated using a large number of different sets of initial conditions. It is concluded from simulation results and comparisons that the proposed method is superior to the general ABC algorithm. |
| Starting Page | 240 |
| Ending Page | 244 |
| Page Count | 5 |
| File Format | PDF HTM / HTML |
| DOI | 10.12792/icisip2014.046 |
| Alternate Webpage(s) | https://www2.ia-engineers.org/conference/index.php/icisip/icisip2014/paper/viewFile/297/314 |
| Alternate Webpage(s) | https://doi.org/10.12792/icisip2014.046 |
| Journal | ICIS 2014 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
