Introduction to evolutionary algorithms 论文

2018引用 353
Metaheuristic Optimization Algorithms Research

摘要

Since they are gleaned from the model of organic evolution, all basic instances of evolutionary algorithms share a number of common properties, which are mentioned here to characterize the prototype of a general evolutionary algorithm: (i) Evolutionary algorithms utilize the collective learning process of apopulation of individuals. Usually, each individual represents (or encodes) a search point in the space of potential solutions to a given problem. Additionally, individuals may also incorporate further information; for example, strategy parameters (Sections 16.2 and 32.2) of the evolutionary algorithm.

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