title: LARES: an artificial chemical process approach for optimization.
abstract: This article introduces a new global optimization procedure called LARES. LARES is based on the concept of an artificial chemical process (ACP), a new paradigm which is described in this article. The algorithm's performance was studied using a test bed with a wide spectrum of problems including random multi-modal random problem generators, random LSAT problem generators with various degrees of epistasis, and a test bed of real-valued functions with different degrees of multi-modality, discontinuity and flatness. In all cases studied, LARES performed very well in terms of robustness and efficiency.
authors.affiliation: DuPont Electronics Microcircuits Industries, P.O. Box 30200 Manati, PR. Roberto.Irizarry@PRI.dupont.com
authors.forename: Roberto
authors.initials: R
authors.lastname: Irizarry
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D008956:Models, Chemical; D008957:Models, Genetic; D008962:Models, Theoretical; D013269:Stochastic Processes