Combining global tabu search with local search for solving systems of equalities and inequalities
This papers aims at providing a combined strategy for solving systems of equalities and inequalities. The combined strategy uses two types of steps: a global search step and a local search step. The global step relies on a tabu search heuristic and the local step uses a deterministic search known as...
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| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2014
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| Texto completo: | http://hdl.handle.net/10400.22/4297 |
| País: | Portugal |
| Oai: | oai:recipp.ipp.pt:10400.22/4297 |
| Resumo: | This papers aims at providing a combined strategy for solving systems of equalities and inequalities. The combined strategy uses two types of steps: a global search step and a local search step. The global step relies on a tabu search heuristic and the local step uses a deterministic search known as Hooke and Jeeves. The choice of step, at each iteration, is based on the level of reduction of the l2-norm of the error function observed in the equivalent system of equations, compared with the previous iteration. |
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