Integer and combinatorial optimization
Integer and combinatorial optimization
PVM: Parallel virtual machine: a users' guide and tutorial for networked parallel computing
PVM: Parallel virtual machine: a users' guide and tutorial for networked parallel computing
Branch, Cut, and Price: Sequential and Parallel
Computational Combinatorial Optimization, Optimal or Provably Near-Optimal Solutions [based on a Spring School]
Optimal Design of Truss Structures by Logic-Based Branch and Cut
Operations Research
Projected Chvátal–Gomory cuts for mixed integer linear programs
Mathematical Programming: Series A and B
Global optima for the Zhou---Rozvany problem
Structural and Multidisciplinary Optimization
Structural topology optimization of high-voltage transmission tower with discrete variables
Structural and Multidisciplinary Optimization
Generalized Benders' Decomposition for topology optimization problems
Journal of Global Optimization
Structural and Multidisciplinary Optimization
Optimal design of multi-product batch plants using a parallel branch-and-bound method
PaCT'11 Proceedings of the 11th international conference on Parallel computing technologies
Structural and Multidisciplinary Optimization
Mine blast algorithm for optimization of truss structures with discrete variables
Computers and Structures
A new Branch and Bound method for a discrete truss topology design problem
Computational Optimization and Applications
Exploring new tensegrity structures via mixed integer programming
Structural and Multidisciplinary Optimization
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The subject of this article is solving discrete truss topology optimization problems with local stress and displacement constraints to global optimum. We consider a formulation based on the Simultaneous ANalysis and Design (SAND) approach. This intrinsically non-convex problem is reformulated to a mixed-integer linear program, which is solved with a parallel implementation of branch-and-bound. Additional valid inequalities and cuts are introduced to give a stronger representation of the problem, which improves convergence and speed up of the parallel method. The valid inequalities represent the physics, and the cuts (Combinatorial Benders' and projected Chvatal-Gomory) come from an understanding of the particular mathematical structure of the reformulation. The impact of a stronger representation is investigated on several truss topology optimization problems in two and three dimensions.