Modularity in Biological Evolution and Evolutionary Computation
نویسندگان
چکیده
منابع مشابه
Models and Algorithms in Biological Network Evolution with Modularity
Networks are commonly used to represent key processes in biology; examples include transcriptional regulatory networks, protein-protein interaction (PPI) networks, metabolic networks, etc. Databases store many such networks, as graphs, observed or inferred. Generative models for these networks have been proposed. For PPI networks, current models are based on duplication and divergence (D&D): a ...
متن کاملThe Evolution of Evolutionary Computation
Evolutionary computation has enjoyed a tremendous growth for at least a decade in both its theoretical foundations and industrial applications. Its scope has gone far beyond binary string optimisation using a simple genetic algorithm. Many research topics in evolutionary computation nowadays are not necessarily “genetic” or “evolutionary” in any biological sense. This talk will describe some re...
متن کاملFrom Evolutionary Computation to Computational Evolution
This paper proposes that evolutionary computation be understood more like computational evolution, i.e., to use the evolutionary process for construction , rather than for optimization. For this purpose simulation of the evolutionary process should include a non-linear developmental process from genotype to phenotype. In this developmental process the environment has an important role. In order...
متن کاملViability Evolution: Elimination and Extinction in Evolutionary Computation
Current mainstream Evolutionary Algorithms (EA) are based on the concept of selection, encapsulated in the definition of a fitness function. Besides selection, however, the natural evolutionary process includes a phenomenon of elimination, which is linked to the ideas of viability and contingency. In this paper, we show how elimination can be modeled and integrated with selection to give rise t...
متن کاملPromoting Modularity in Evolutionary Design
Evolutionary design systems apply principles inspired from biological evolution to automate machine design. These systems have been shown to generate simple designs for simple tasks – but their practical ability to scale up to higher complexities remains questioned. One of the keys to accomplishing higher-level evolutionary design is the ability of the process to identify and reuse knowledge di...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Biology Bulletin Reviews
سال: 2020
ISSN: 2079-0864,2079-0872
DOI: 10.1134/s2079086420040076