PLAZZMID: Evolutionary algorithms from bacterial and bee genomes

经典的进化算法在解决某些问题上非常成功。但它们实现了一个非常简单的进化生物学模型，忽略了一些可能被更复杂的算法利用的方面。我们之前批评过传统的天真的生物启发算法设计方法，这种方法直接从对生物的简单描述转向某种算法。PLAZZMID使用更复杂的过程来开发从各种生物进化过程中抽象出来的更丰富的进化算法，具有相应的更丰富的类比计算结构。PLAZZMID方法将用于探索理论进化生物学中的问题，并解决动态计算问题，例如在可变环境中为稳态而进化。

Classical evolutionary algorithms have been extremely successful at solving certain problems. But they implement a very simple model of evolutionary biology that misses out several aspects that might be exploited by more sophisticated algorithms. We have previously critiqued the traditional naive approach to bio-inspired algorithm design, that moves straight from a simplistic description of the biology into some algorithm. PLAZZMID uses a more sophisticated process for developing richer evolutionary algorithms abstracted from various processes of biological evolution, with a corresponding richer analogical computational structure. The PLAZZMID approach will be used to explore questions from theoretical evolutionary biology, and to solve dynamic computational problems, such as evolving for homeostasis in a variable environment.