Hybrid method coupling AIS and zeroth order deterministic search
ISSN: 0332-1649
Article publication date: 1 September 2005
Abstract
Purpose
The paper presents an hybrid optimization technique which couples the artificial immune system (AIS) algorithm with a zeroth order deterministic method.
Design/methodology/approach
AIS has been developed to tackle multi‐modal optimization problems and it has shown a great ability to explore the objective function space. The algorithm is subdivided into two phases: an outer and an inner cycle. The outer cycle is devoted to the exploration of the space while the inner is a local exploration of the objective function. The new hybrid method proposes to replace the local search by a zeroth order deterministic search to speed up the overall convergence.
Findings
Results on two multi‐modal analytical objective functions show an increase of speed of the new procedure with respect to the standard AIS. The method is also tested on the TEAM 22 numerical problem and some a posteriori techniques for the analysis of multimodal blind objective functions are discussed.
Originality/value
The new Multimodal optimization algorithm has allowed to explore thoroughly feasibility space giving rise to a partition of the whole space, the use of hybrid technique increases the performances of standard AIS increasing the convergence to the optimal points.
Keywords
Citation
Canova, A., Freschi, F. and Repetto, M. (2005), "Hybrid method coupling AIS and zeroth order deterministic search", COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, Vol. 24 No. 3, pp. 784-795. https://doi.org/10.1108/03321640510598139
Publisher
:Emerald Group Publishing Limited
Copyright © 2005, Emerald Group Publishing Limited