|국가/구분||United States(US) Patent 등록|
|발명자 / 주소|
|출원인 / 주소|
|대리인 / 주소||
|인용정보||피인용 횟수 : 15 인용 특허 : 12|
A framework for managing approximate models in generation-based evolution control is proposed. This framework is well suited for parallel evolutionary optimization that is able to guarantee the correct convergence of the evolutionary algorithm and to reduce the computation costs as much as possible. Control of the evolution and updating of the approximate models are based on the estimated fidelity of the approximate model. The frequency at which the original function is called and the approximate model is updated is determined by the local fidelity of th...
What is claimed is: 1. A method for evolutionary optimization, comprising the following steps: setting up an initial population as parents, reproducing the parents to create a plurality of offsprings, evaluating the quality of the offsprings by means of a fitness function, said fitness function is one of an original fitness function and an approximate fitness function, and selecting at least one offspring having the highest evaluated quality value as parents, characterized in that the frequency of the use of the original fitness function is adaptable...