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Samuel S. Brito

Publications and source records attributed to Samuel S. Brito.

2 recordsLinked to original sources

Preprocessing and Cutting Planes with Conflict Graphs

This paper addresses the development of conflict graph-based algorithms and data structures into the COIN-OR Branch-and-Cut (CBC) solver, including: $(i)$ an efficient infrastructure for the construction and manipulation of conflict graphs; $(ii)$ a preprocessing routine based on a clique strengthening scheme that can both reduce the number of constraints and produce stronger formulations; $(iii)$ a clique cut separator capable of obtaining dual bounds at the root node LP relaxation that are $19.65\%$ stronger than those provided by the equivalent cut generator of a state-of-the-art commercial solver, $3.62$ times better than those attained by the clique cut separator of the GLPK solver and $4.22$ times stronger than the dual bounds obtained by the clique separation routine of the COIN-OR Cut Generation Library; and $(iv)$ an odd-cycle cut separator with a new lifting module to produce valid odd-wheel inequalities. The average gap closed by this new version of CBC was up to four times better than its previous version. Moreover, the number of mixed-integer programs solved by CBC in a time limit of three hours was increased by $23.53\%$.

cs.DS

Strong Bounds for Resource Constrained Project Scheduling: Preprocessing and Cutting Planes

Resource Constrained Project Scheduling Problems (RCPSPs) without preemption are well-known NP-hard combinatorial optimization problems. A feasible RCPSP solution consists of a time-ordered schedule of jobs with corresponding execution modes, respecting precedence and resources constraints. In this paper, we propose a cutting plane algorithm to separate five different cut families, as well as a new preprocessing routine to strengthen resource-related constraints. New lifted versions of the well-known precedence and cover inequalities are employed. At each iteration, a dense conflict graph is built considering feasibility and optimality conditions to separate cliques, odd-holes and strengthened Chvátal-Gomory cuts. The proposed strategies considerably improve the linear relaxation bounds, allowing a state-of-the-art mixed-integer linear programming solver to find provably optimal solutions for 754 previously open instances of different variants of the RCPSPs, which was not possible using the original linear programming formulations.

cs.DS