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5. Hyper-Heuristics in Evolutionary Algorithms Design

References

Hong, L., Drake, J., Woodward, J., Ozcan, E. (2016) Automatically Designing More General Mutation Operators of Evolutionary Programming for Groups of Function Classes Using a Hyper-Heuristic. In proceedings of the 2016 Annual Conference on Genetic Programming and Evolutionary Computation (GECCO 2016), pp. 725-732. 

Kumari, A.C., Srinivas, K. (2012) Software Module Clustering Using a Fast Multi-Objective Hyper-Heuristic Evolutionary Algorithm. International Journal of Applied Information Systems, 5(6), 12-18. 

Kumari, A. C., Srinivas, K. (2013) Scheduling and Inspection Planning in Software Development Projects Using Multi-Objective Hyper-Heuristic Evolutionary Algorithm. International Journal of Software Engineering and Application, 4(3), 45-57. 

Maashi, M., Ozcan, E. & Kendall, G. (2014) A Multi-Objective Hyper-Heuristic Based on Choice Function. Expert Systems with Applications, Vol. 41, 4475-4493. 

Misir, M., Verbeeck, K., De Causmaecker, P., VandenBerghe, G. (2011) A New Hyper-heuristic Implementation in HyFlex: A Study on Generality. The 5th Multidisciplinary International Scheduling Conference: Theory & Applications (MISTA11), Arizona, USA. 

Ochoa, G., Hyde, M., Curtois, T., Vazquez-Rodriguez, J.A., Walker, J., Gendreau, M., Kendall, G., McCollum, B., Parkes, A.J., Petrovic, S., Burke, E. K. (2012) HyFlex: A Benchmark Framework for Cross-domain Heuristic Search. European Conference on Evolutionary Computation in Combinatorial Optimization (EvoCOP 2012), LNCS series, Vol. 7245, Springer.

Pillay, N. (2013) A Study of Hyper-Heuristics for Hybridizing Search. Advances in Artificial Intelligence - Proceedings of ALEA 2013, 9-12 September, Portugal,128-139. 

Qu, R., Burke E.K. (2009). Hybridizations within a graph based hyper-heuristic framework for university timetabling problems. Journal of the Operational Research Society, 60(9), 1273–1285. 

Sabar, N. R., Ayob, M., Kendall, G., Qu, R. (2014) The Automatic Design of Hyper-heuristic Framework with Gene Expression Programming for Combinatorial Optimization Problems. IEEE Transactions on Evolutionary Computation, April 2014, doi:10.1109/TEVC.2014.2319051. 

Sabar, N. R., Ayob, M., Kendall, G., Qu, R. (2014) The Automatic Design of Hyper-heuristic Framework with Gene Expression Programming for Combinatorial Optimization Problems. IEEE Transactions on Evolutionary Computation, April 2014, doi:10.1109/TEVC.2014.2319051. 

Tinoco, J.C.V., Coello, C.A.C. (2012) hypDE: A Hyper-Heuristic Based on Differential Evolution for Solving Constrained Optimization Problems. EVOLVE-A Bridge Between Probability, AISC 175, pp. 267-282. 

Woodward, J., Swan, J. (2012) The Automatic Generation of Mutation Operators for Design. In proceedings of GECCO '12, Philadelphia, USA, 7-11 July 2012, pp. 67-74, ACM.







 






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