José Antonio Vázquez Rodríguez

According to our database1, José Antonio Vázquez Rodríguez authored at least 16 papers between 2005 and 2014.

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Bibliography

2014
Tailoring hyper-heuristics to specific instances of a scheduling problem using affinity and competence functions.
Memetic Comput., 2014

2012
Calibrating continuous multi-objective heuristics using mixture experiments.
J. Heuristics, 2012

HyFlex: A Benchmark Framework for Cross-Domain Heuristic Search.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2012

2011
On the automatic discovery of variants of the NEH procedure for flow shop scheduling using genetic programming.
J. Oper. Res. Soc., 2011

HyFlex: A Benchmark Framework for Cross-domain Heuristic Search
CoRR, 2011

2010
A new dispatching rule based genetic algorithm for the multi-objective job shop problem.
J. Heuristics, 2010

The hybrid flow shop scheduling problem.
Eur. J. Oper. Res., 2010

Integrating rush orders into existent schedules for a complex job shop problem.
Appl. Intell., 2010

Fuzzy approaches for robust job shop rescheduling.
Proceedings of the FUZZ-IEEE 2010, 2010

Iterated local search vs. hyper-heuristics: Towards general-purpose search algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Towards the decathlon challenge of search heuristics.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Dispatching rules for production scheduling: A hyper-heuristic landscape analysis.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2007
A Robust Meta-Hyper-Heuristic Approach to Hybrid Flow-Shop Scheduling.
Proceedings of the Evolutionary Scheduling, 2007

An estimation of distribution algorithm with guided mutation for a complex flow shop scheduling problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

An investigation of hyper-heuristic search spaces.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2005
Performance of single stage representation genetic algorithms in scheduling flexible flow shops.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005


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