This paper presents a distributed algorithm for optimization of nonconvex multimodal functions. In recent years, new distributed algorithms based on Artificial Life (ALife) system has been studied and its potential power has been demonstrated. In this paper, therefore, the frame work of ALife system is employed into a function minimization. This paper also proposes a hybrid algorithm in which ALife system is incorporated with the local search method for finding good start points for the local search. Since the proposed method utilizes no gradient information, it can be applied to very wide class of optimization problems. The effectiveness of the proposed method is demonstrated through some numerical tests.
|Number of pages||4|
|Publication status||Published - 1 Dec 1999|
|Event||International Joint Conference on Neural Networks (IJCNN'99) - Washington, DC, USA|
Duration: 10 Jul 1999 → 16 Jul 1999
|Conference||International Joint Conference on Neural Networks (IJCNN'99)|
|City||Washington, DC, USA|
|Period||10/07/99 → 16/07/99|