Evolutionary programming with accumulated evolution information

Doo Hyun Choi

doi:10.1049/el:19990586

Evolutionary programming with accumulated evolution information

Doo Hyun Choi

School of Electronics Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

In natural evolution, the individuals of species accumulate successive slight variations in their genes and the accumulated evolution information is inherited by their offspring. A new evolutionary programming algorithm adopting this concept is presented. Similar to natural evolution, the algorithm uses the accumulated evolution information inherited from its parent. The information is obtained through many generations of the evolution and speeds up the convergence of the evolutionary programming. The efficiency and robustness of the proposed algorithm has been verified through benchmark testing.

Original language	English
Pages (from-to)	808-809
Number of pages	2
Journal	Electronics Letters
Volume	35
Issue number	10
DOIs	https://doi.org/10.1049/el:19990586
State	Published - 13 May 1999

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10.1049/el:19990586

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title = "Evolutionary programming with accumulated evolution information",

abstract = "In natural evolution, the individuals of species accumulate successive slight variations in their genes and the accumulated evolution information is inherited by their offspring. A new evolutionary programming algorithm adopting this concept is presented. Similar to natural evolution, the algorithm uses the accumulated evolution information inherited from its parent. The information is obtained through many generations of the evolution and speeds up the convergence of the evolutionary programming. The efficiency and robustness of the proposed algorithm has been verified through benchmark testing.",

author = "Choi, \{Doo Hyun\}",

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AU - Choi, Doo Hyun

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AB - In natural evolution, the individuals of species accumulate successive slight variations in their genes and the accumulated evolution information is inherited by their offspring. A new evolutionary programming algorithm adopting this concept is presented. Similar to natural evolution, the algorithm uses the accumulated evolution information inherited from its parent. The information is obtained through many generations of the evolution and speeds up the convergence of the evolutionary programming. The efficiency and robustness of the proposed algorithm has been verified through benchmark testing.

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U2 - 10.1049/el:19990586

DO - 10.1049/el:19990586

M3 - Article

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SN - 0013-5194

VL - 35

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EP - 809

JO - Electronics Letters

JF - Electronics Letters

IS - 10

ER -

Evolutionary programming with accumulated evolution information

Abstract

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