Search Results for author: Josè Andrès Moreno Pèrez

Found 2 papers, 0 papers with code

An intelligent extension of Variable Neighbourhood Search for labelling graph problems

no code implementations27 Sep 2015 Sergio Consoli, Josè Andrès Moreno Pèrez

In this paper we describe an extension of the Variable Neighbourhood Search (VNS) which integrates the basic VNS with other complementary approaches from machine learning, statistics and experimental algorithmic, in order to produce high-quality performance and to completely automate the resulting optimization strategy.

Towards an intelligent VNS heuristic for the k-labelled spanning forest problem

no code implementations5 Mar 2015 Sergio Consoli, Josè Andrès Moreno Pèrez, Nenad Mladenovic

In a currently ongoing project, we investigate a new possibility for solving the k-labelled spanning forest (kLSF) problem by an intelligent Variable Neighbourhood Search (Int-VNS) metaheuristic.

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