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  2. Crossover (evolutionary algorithm) - Wikipedia

    en.wikipedia.org/wiki/Crossover_(evolutionary...

    For example, a thread cannot be cut until the corresponding hole has been drilled in a workpiece. Such problems are also called order-based permutations. In the following, two crossover operators are presented as examples, the partially mapped crossover (PMX) motivated by the TSP and the order crossover (OX1) designed for order-based permutations.

  3. Neuroevolution of augmenting topologies - Wikipedia

    en.wikipedia.org/wiki/Neuroevolution_of...

    The competing conventions problem arises when there is more than one way of representing information in a phenotype. For example, if a genome contains neurons A, B and C and is represented by [A B C], if this genome is crossed with an identical genome (in terms of functionality) but ordered [C B A] crossover will yield children that are missing information ([A B A] or [C B C]), in fact 1/3 of ...

  4. Repeated measures design - Wikipedia

    en.wikipedia.org/wiki/Repeated_measures_design

    A popular repeated-measures design is the crossover study. A crossover study is a longitudinal study in which subjects receive a sequence of different treatments (or exposures). While crossover studies can be observational studies, many important crossover studies are controlled experiments.

  5. Evolutionary computation - Wikipedia

    en.wikipedia.org/wiki/Evolutionary_computation

    In this process, there are two main forces that form the basis of evolutionary systems: Recombination (e.g. crossover) and mutation create the necessary diversity and thereby facilitate novelty, while selection acts as a force increasing quality. Many aspects of such an evolutionary process are stochastic. Changed pieces of information due to ...

  6. Neuroevolution - Wikipedia

    en.wikipedia.org/wiki/Neuroevolution

    For example, the outcome of a game (i.e., whether one player won or lost) can be easily measured without providing labeled examples of desired strategies. Neuroevolution is commonly used as part of the reinforcement learning paradigm, and it can be contrasted with conventional deep learning techniques that use backpropagation ( gradient descent ...

  7. Genetic operator - Wikipedia

    en.wikipedia.org/wiki/Genetic_operator

    As with selection, there are a number of different methods for combining the parent solutions, including the edge recombination operator (ERO) and the 'cut and splice crossover' and 'uniform crossover' methods. The crossover method is often chosen to closely match the chromosome's representation of the solution; this may become particularly ...

  8. Selection (evolutionary algorithm) - Wikipedia

    en.wikipedia.org/wiki/Selection_(evolutionary...

    It is a successful (slight) variant of the general process of constructing a new population. The basis for selection is the quality of an individual, which is determined by the fitness function . In memetic algorithms , an extension of EA, selection also takes place in the selection of those offspring that are to be improved with the help of a ...

  9. Crossover study - Wikipedia

    en.wikipedia.org/wiki/Crossover_study

    In medicine, a crossover study or crossover trial is a longitudinal study in which subjects receive a sequence of different treatments (or exposures). While crossover studies can be observational studies , many important crossover studies are controlled experiments , which are discussed in this article.