What is situated evolution?

M. C. Schut; E. Haasdijk; A. E. Eiben

doi:https://doi.org/10.1109/CEC.2009.4983360

What is situated evolution?

M. C. Schut, E. Haasdijk, A. E. Eiben

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

4 Citations (Scopus)

Abstract

In this paper we discuss the notion of situated evolution. Our treatment includes positioning situated evolution on the map of evolutionary processes in terms of time- and space-embeddedness, and the identification of decentralization as an orthogonal property. We proceed with a selected overview of related literature in the categories of our interest. This overview enables us to distill further detailes that distinguish the encountered methods. As it turns out the essential differences can be captured through the mechanics of selection and fertilization. These insights are aggregated into a new model called the Situated Evolution Method, which is then used to provide a fine-grained map of exisiting work. © 2009 IEEE.

Original language	English
Title of host publication	2009 IEEE Congress on Evolutionary Computation, CEC 2009
Pages	3277-3284
DOIs	https://doi.org/10.1109/CEC.2009.4983360
Publication status	Published - 2009
Externally published	Yes
Event	2009 IEEE Congress on Evolutionary Computation, CEC 2009 - , Norway Duration: 18 May 2009 → 21 May 2009

Publication series

Name	2009 IEEE Congress on Evolutionary Computation, CEC 2009

Conference

Conference	2009 IEEE Congress on Evolutionary Computation, CEC 2009
Country/Territory	Norway
Period	18/05/2009 → 21/05/2009

Access to Document

https://doi.org/10.1109/CEC.2009.4983360

Cite this

@inproceedings{c51507f673cc440ea1ebc3e7f97a9f1e,

title = "What is situated evolution?",

abstract = "In this paper we discuss the notion of situated evolution. Our treatment includes positioning situated evolution on the map of evolutionary processes in terms of time- and space-embeddedness, and the identification of decentralization as an orthogonal property. We proceed with a selected overview of related literature in the categories of our interest. This overview enables us to distill further detailes that distinguish the encountered methods. As it turns out the essential differences can be captured through the mechanics of selection and fertilization. These insights are aggregated into a new model called the Situated Evolution Method, which is then used to provide a fine-grained map of exisiting work. {\textcopyright} 2009 IEEE.",

author = "Schut, {M. C.} and E. Haasdijk and Eiben, {A. E.}",

year = "2009",

doi = "https://doi.org/10.1109/CEC.2009.4983360",

language = "English",

series = "2009 IEEE Congress on Evolutionary Computation, CEC 2009",

pages = "3277--3284",

booktitle = "2009 IEEE Congress on Evolutionary Computation, CEC 2009",

note = "2009 IEEE Congress on Evolutionary Computation, CEC 2009 ; Conference date: 18-05-2009 Through 21-05-2009",