New computer methods for global optimization
New computer methods for global optimization
Subdivision Direction Selection in Interval Methods for Global Optimization
SIAM Journal on Numerical Analysis
On proving existence of feasible points in equality constrained optimization problems
Mathematical Programming: Series A and B
Pascal-XSC: Language Reference with Examples
Pascal-XSC: Language Reference with Examples
Computers and Operations Research - Location analysis
The 1-center problem in the plane with independent random weights
Computers and Operations Research
Computers and Operations Research
Solving the multiple competitive facilities location and design problem on the plane
Evolutionary Computation
Parallel algorithms for continuous multifacility competitive location problems
Journal of Global Optimization
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Interval analysis is a powerful tool which allows the design of branch-and-bound methods able to solve many global optimization problems. The key to the speed of those methods is the use of several tests to discard boxes or parts of boxes in which no optimal point may occur. In this paper we present three new discarding tests for two-dimensional problems which are specially suitable for planar single-facility location problems. The usefulness of the new tests is shown by a computational study.