Group leaders optimization algorithm |
| |
Authors: | Anmer Daskin |
| |
Institution: | Department of Computer Science , Purdue University , West Lafayaette, IN 47907, USA |
| |
Abstract: | We present a new global optimization algorithm in which the influence of the leaders in social groups is used as an inspiration for the evolutionary technique which is designed into a group architecture. To demonstrate the efficiency of the method, a standard suite of single and multi-dimensional optimization functions along with the energies and the geometric structures of Lennard-Jones clusters are given as well as the application of the algorithm on quantum circuit design problems. We show that as an improvement over previous methods, the algorithm scales as N 2.5 for the Lennard-Jones clusters of N-particles. In addition, an efficient circuit design is shown for a two-qubit Grover search algorithm which is a quantum algorithm providing quadratic speedup over the classical counterpart. |
| |
Keywords: | optimization quantum circuits evolutionary algorithms Lennard-Jones clusters |
|
|