Considerations in the application of evolution to the generation of robot controllers
Information Sciences—Informatics and Computer Science: An International Journal - Special issue on evolutionary algorithms
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
An analysis of the behavior of a class of genetic adaptive systems.
An analysis of the behavior of a class of genetic adaptive systems.
Macroevolutionary algorithms: a new optimization method on fitnesslandscapes
IEEE Transactions on Evolutionary Computation
Application domain study of evolutionary algorithms in optimization problems
Proceedings of the 10th annual conference on Genetic and evolutionary computation
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Macroevolutionary Algorithms seem to work better than other Evolutionary Algorithms in problems characterized by having small populations where the evaluation of the individuals is computationally very expensive or is characterized by a very difficult search space with multiple narrow hyper-dimensional peaks and large areas between those peaks showing the same fitness value. This paper focuses on some aspects of Macroevolutionary Algorithms introducing some modifications that address weak points in the original algorithm, which are very relevant in some types of complex real world problems. All the modifications on the algorithm are tested in real world problems.