A branch and bound algorithm for solving separable convex integer programming problems
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Summary
A branch and bound method that solves a class of nonlinear integer programming problems that linearizes all nonlinear functions to form a linear programming problem at each node, which can be solved efficiently by the simplex method.
- Type
- article
- Published
- 1994-11-01
- Cited by
- 10
- References
- 24
- OpenAlex
- https://openalex.org/W1989268498
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:43852057
Keywords
Mathematical optimization, Branch and cut, Branch and bound, Separable space, Mathematics
References
- Construction of nonlinear programming test problems
- A Survey of Methods for Pure Nonlinear Integer Programming
- Establishing Consistent and Realistic Reorder Intervals in Production-Distribution Systems
- Branch and Bound Experiments in Convex Nonlinear Integer Programming
- Technical Note - Converting the 0-1 Polynomial Programming Problem to a 0-1 Linear Program
- Nonlinear and Dynamic Programming
- Letter to the Editor - Reduction of Integer Polynomial Programming Problems to Zero-One Linear Programming Problems
- Determining optimal reorder intervals in capacitated production-distribution systems
- Pracniques: construction of nonlinear programming test problems
- Further Reduction of Zero-One Polynomial Programming Problems to Zero-One linear Programming Problems
- A Method of Solving Redundancy Optimization Problems
- Design and Testing of a Generalized Reduced Gradient Code for Nonlinear Programming
- A hybrid approach to discrete mathematical programming
- The use of dynamic programming methodology for the solution of a class of nonlinear programming problems
- A branch and bound algorithm for solving a class of nonlinear integer programming problems
- Minimization of non-linear separable convex functionals†
- The Optimum Distribution of Effort
- An Algorithm for Nonlinear Knapsack Problems
- Integer Programming Formulation of Constrained Reliability Problems
- A General Algorithm for the Optimal Distribution of Effort
Cited by
- A discrete dynamic convexized method for nonlinear integer programming
- One more step in the methods of integration of tann ax and cot" ax
- A critical review of discrete filled function methods in solving nonlinear discrete optimization problems
- Discrete dynamic convexized method for nonlinearly constrained nonlinear integer programming
- Genetic algorithm for non-linear mixed integer programming problems and its applications
- Global algorithms for nonlinear discrete optimization and discrete-valued optimal control problems
- A discrete hybrid differential evolution algorithm for solving integer programming problems
- No Special Schemes Are Needed for Solving Software Reliability Optimization Models
- A Min-Max-Sum Resource Allocation Problem and Its Applications
- A New Nonparametric Filled Function Method for Integer Programming Problems with Constraints
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