Journal of Global Optimization
Minimization of the sum of three linear fractional functions
Journal of Global Optimization
Journal of Global Optimization
Solving the Sum-of-Ratios Problem by an Interior-Point Method
Journal of Global Optimization
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Web image clustering by consistent utilization of visual features and surrounding texts
Proceedings of the 13th annual ACM international conference on Multimedia
Solving the sum-of-ratios problem by a stochastic search algorithm
Journal of Global Optimization
A simplicial branch and duality bound algorithm for the sum of convex-convex ratios problem
Journal of Computational and Applied Mathematics
Global optimization for a class of fractional programming problems
Journal of Global Optimization
Solving the sum-of-ratios problems by a harmony search algorithm
Journal of Computational and Applied Mathematics
Global optimization for the generalized polynomial sum of ratios problem
Journal of Global Optimization
A practical but rigorous approach to sum-of-ratios optimization in geometric applications
Computational Optimization and Applications
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This article presents a branch-and-bound algorithm for globally solving the nonlinear sum of ratios problem (P). The algorithm economizes the required computations by conducting the branch-and-bound search in Rp, rather than in Rn, where p is the number of ratios in the objective function of problem (P) and n is the number of decision variables in problem (P). To implement the algorithm, the main computations involve solving a sequence of convex programming problems for which standard algorithms are available.