Name
Title | ||
|---|---|---|
A Metropolis algorithm combined with Hooke–Jeeves local search method applied to global optimization |
Abstract | ||
|---|---|---|
A hybridization of a recently introduced Metropolis algorithm named the Particle Collision Algorithm (PCA) and the Hooke–Jeeves local search method is applied to a testbed of global optimization functions and to real-world chemical equilibrium nonlinear systems. The results obtained by this method, called HJPCA, are compared against those achieved by two state-of-the-art global optimization methods, C-GRASP and GLOBAL. HJPCA performs better than both algorithms, thus demonstrating its potential for other applications. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1016/j.amc.2010.06.027 | Applied Mathematics and Computation |
Keywords | Field | DocType |
Global optimization,Metaheuristics,Hybrid methods,Metropolis algorithms,Hooke–Jeeves method | Mathematical optimization,Nonlinear system,Metropolis–Hastings algorithm,Global optimization,Calculus of variations,Algorithm,Local search (optimization),Numerical analysis,Real-valued function,Mathematics,Metaheuristic | Journal |
Volume | Issue | ISSN |
217 | 2 | 0096-3003 |
Citations | PageRank | References |
5 | 0.47 | 17 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| A.C. Rios-Coelho | 1 | 5 | 0.47 |
| W.F. Sacco | 2 | 5 | 0.47 |
| N. Henderson | 3 | 11 | 2.64 |