| 摘要 |
This invention outlines a method to extend computer-based evolutionary learning algorithms by supplementing with human reasoning rather than pure computational logic. Evolutionary algorithms such as genetic algorithms and neural networks are global search heuristics. These algorithms use techniques inspired by evolutionary biology such as inheritance, mutation, selection, crossover, neuronal pruning and adaption for identifying exact or approximate solutions to optimization and search problems. This invention discloses a method of allowing humans, who are experts in the domains of certain problems, to interact with and propose theories that are used as constraints to evolutionary algorithms and to provide feedback that may allow evolutionary algorithms to escape local minima during the evolutionary computing process.
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