Discrete Applied Mathematics - Discrete applied mathematics in Japan
Primal-relaxed dual global optimization approach
Journal of Optimization Theory and Applications
Multiplicative programming problems: analysis and efficient point search heuristic
Journal of Optimization Theory and Applications
Journal of Optimization Theory and Applications
Journal of Global Optimization
Introduction to Global Optimization (Nonconvex Optimization and Its Applications)
Introduction to Global Optimization (Nonconvex Optimization and Its Applications)
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A global optimization approach for convex multiplicative problems based on the generalized Benders decomposition is proposed. A suitable representation of the multiplicative problem in the outcome space reduces its global solution to the solution of a sequence of quasiconcave minimizations over polytopes. Some similarities between convex multiplicative and convex multiobjective programming become evident through the methodology proposed. The algorithm is easily implemented; its performance is illustrated by a test problem.