Convergent bounds for the range of multivariate polynomials
Proceedings of the International Symposium on interval mathematics on Interval mathematics 1985
A collection of test problems for constrained global optimization algorithms
A collection of test problems for constrained global optimization algorithms
Revising hull and box consistency
Proceedings of the 1999 international conference on Logic programming
An Improved Interval Global Optimization Algorithm Using Higher-order Inclusion Function Forms
Journal of Global Optimization
Algorithm 852: RealPaver: an interval solver using constraint satisfaction techniques
ACM Transactions on Mathematical Software (TOMS)
Applied Optimization with MATLAB Programming
Applied Optimization with MATLAB Programming
An efficient and safe framework for solving optimization problems
Journal of Computational and Applied Mathematics - Special issue: Scientific computing, computer arithmetic, and validated numerics (SCAN 2004)
Analysis of nonlinear electrical circuits using bernstein polynomials
International Journal of Automation and Computing
The Bernstein polynomial basis: A centennial retrospective
Computer Aided Geometric Design
Journal of Global Optimization
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We propose an algorithm for constrained global optimization to tackle non-convex nonlinear multivariate polynomial programming problems. The proposed Bernstein branch and prune algorithm is based on the Bernstein polynomial approach. We introduce several new features in this proposed algorithm to make the algorithm more efficient. We first present the Bernstein box consistency and Bernstein hull consistency algorithms to prune the search regions. We then give Bernstein contraction algorithm to avoid the computation of Bernstein coefficients after the pruning operation. We also include a new Bernstein cut-off test based on the vertex property of the Bernstein coefficients. The performance of the proposed algorithm is numerically tested on 13 benchmark problems. The results of the tests show the proposed algorithm to be overall considerably superior to existing method in terms of the chosen performance metrics.