Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: an introduction: on the automatic evolution of computer programs and its applications
Foundations of genetic programming
Foundations of genetic programming
Grammatical Evolution: Evolutionary Automatic Programming in an Arbitrary Language
Grammatical Evolution: Evolutionary Automatic Programming in an Arbitrary Language
A Tabu-Search Hyperheuristic for Timetabling and Rostering
Journal of Heuristics
Evolving Evolutionary Algorithms Using Linear Genetic Programming
Evolutionary Computation
Linear Genetic Programming (Genetic and Evolutionary Computation)
Linear Genetic Programming (Genetic and Evolutionary Computation)
Linear genetic programming of metaheuristics
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Strongly typed genetic programming
Evolutionary Computation
Search bias, language bias and genetic programming
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
Evolving bin packing heuristics with genetic programming
PPSN'06 Proceedings of the 9th international conference on Parallel Problem Solving from Nature
Choosing the fittest subset of low level heuristics in a hyperheuristic framework
EvoCOP'05 Proceedings of the 5th European conference on Evolutionary Computation in Combinatorial Optimization
Distributed choice function hyper-heuristics for timetabling and scheduling
PATAT'04 Proceedings of the 5th international conference on Practice and Theory of Automated Timetabling
No free lunch theorems for optimization
IEEE Transactions on Evolutionary Computation
There Is a Free Lunch for Hyper-Heuristics, Genetic Programming and Computer Scientists
EuroGP '09 Proceedings of the 12th European Conference on Genetic Programming
Genetic programming for evolving due-date assignment models in job shop environments
Evolutionary Computation
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In previous work, we have introduced an effective, grammar-based, linear Genetic-Programming hyperheuristic, i.e., a search heuristicon the space of heuristics. Here we further investigate this approach inthe context of search performance and resource utilisation. For the chosenrealistic travelling salesperson problems it shows that the hyperheuristicroutinely produces metaheuristics that find tours whose lengths arehighly competitive with the best results from literature, while populationsize, genotype size, and run time can be kept very moderate.