0000000000465083

AUTHOR

Francisco ÁNgel-bello

showing 1 related works from this author

Metaheuristics for the linear ordering problem with cumulative costs

2012

The linear ordering problem with cumulative costs (LOPCC) is a variant of the well-known linear ordering problem, in which a cumulative propagation makes the objective function highly non-linear. The LOPCC has been recently introduced in the context of mobile-phone telecommunications. In this paper we propose two metaheuristic methods for this NP-hard problem. The first one is based on the GRASP methodology, while the second one implements an Iterated Greedy-Strategic Oscillation procedure. We also propose a post-processing based on Path Relinking to obtain improved outcomes. We compare our methods with the state-of-the-art procedures on a set of 218 previously reported instances. The compa…

Mathematical optimizationInformation Systems and ManagementGeneral Computer ScienceOscillationGRASPContext (language use)Management Science and Operations ResearchIndustrial and Manufacturing EngineeringSet (abstract data type)Iterated functionModeling and SimulationPath (graph theory)Combinatorial optimizationMetaheuristicMathematicsEuropean Journal of Operational Research
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