New computer methods for global optimization
New computer methods for global optimization
Empirical convergence speed of inclusion functions for facility location problems
Journal of Computational and Applied Mathematics - Special issue: Scientific computing, computer arithmetic, and validated numerics (SCAN 2004)
Computers and Operations Research
Computational Optimization and Applications
Verified Methods for Computing Pareto Sets: General Algorithmic Analysis
International Journal of Applied Mathematics and Computer Science - Verified Methods: Applications in Medicine and Engineering
Using the second-order information in pareto-set computations of a multi-criteria problem
PARA'10 Proceedings of the 10th international conference on Applied Parallel and Scientific Computing - Volume 2
Tuning the interval algorithm for seeking pareto sets of multi-criteria problems
PARA'12 Proceedings of the 11th international conference on Applied Parallel and Scientific Computing
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A new method for obtaining an outer approximation of the efficient set of nonlinear biobjective optimization problems is presented. It is based on the well known `constraint method', and obtains a superset of the efficient set by computing the regions of 驴-optimality of a finite number of single objective constraint problems. An actual implementation, which makes use of interval tools, shows the applicability of the method and the computational studies on a set of competitive location problems demonstrate its efficiency.