PLAZZMID: An evolutionary agent-based architecture inspired by bacteria and bees

Susan Stepney; Tim Clarke; Peter Young

PLAZZMID: An evolutionary agent-based architecture inspired by bacteria and bees

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Classical evolutionary algorithms have been extremely successful at solving certain problems. But they implement a very simple model of evolutionary biology that misses out several aspects that might be exploited by more sophisticated algorithms. We have previously critiqued the traditional naive approach to bio-inspired algorithm design, that moves straight from a simplistic description of the biology into some algorithm. Here we present a process for developing richer evolutionary algorithms abstracted from various processes of biological evolution, with a corresponding richer analogical computational structure, and indicate how that might be further abstracted.

Original language	English
Title of host publication	Advances in Artificial Life, Proceedings
Editors	FAE Costa, LM Rocha, E Costa, I Harvey, A Coutinho
Place of Publication	BERLIN
Publisher	Springer
Pages	1151-1160
Number of pages	10
ISBN (Print)	978-3-540-74912-7
Publication status	Published - 2007
Event	9th European Conference on Artificial Life - Lisbon Duration: 10 Sept 2007 → 14 Sept 2007

Conference

Conference	9th European Conference on Artificial Life
City	Lisbon
Period	10/09/07 → 14/09/07

Keywords

evolutionary algorithms
meta-evolution
CELL

Cite this

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title = "PLAZZMID: An evolutionary agent-based architecture inspired by bacteria and bees",

abstract = "Classical evolutionary algorithms have been extremely successful at solving certain problems. But they implement a very simple model of evolutionary biology that misses out several aspects that might be exploited by more sophisticated algorithms. We have previously critiqued the traditional naive approach to bio-inspired algorithm design, that moves straight from a simplistic description of the biology into some algorithm. Here we present a process for developing richer evolutionary algorithms abstracted from various processes of biological evolution, with a corresponding richer analogical computational structure, and indicate how that might be further abstracted.",

keywords = "evolutionary algorithms, meta-evolution, CELL",

author = "Susan Stepney and Tim Clarke and Peter Young",

year = "2007",

language = "English",

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editor = "FAE Costa and LM Rocha and E Costa and I Harvey and A Coutinho",

booktitle = "Advances in Artificial Life, Proceedings",

publisher = "Springer",

address = "Germany",

note = "9th European Conference on Artificial Life ; Conference date: 10-09-2007 Through 14-09-2007",

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TY - GEN

T1 - PLAZZMID: An evolutionary agent-based architecture inspired by bacteria and bees

AU - Stepney, Susan

AU - Clarke, Tim

AU - Young, Peter

PY - 2007

Y1 - 2007

N2 - Classical evolutionary algorithms have been extremely successful at solving certain problems. But they implement a very simple model of evolutionary biology that misses out several aspects that might be exploited by more sophisticated algorithms. We have previously critiqued the traditional naive approach to bio-inspired algorithm design, that moves straight from a simplistic description of the biology into some algorithm. Here we present a process for developing richer evolutionary algorithms abstracted from various processes of biological evolution, with a corresponding richer analogical computational structure, and indicate how that might be further abstracted.

AB - Classical evolutionary algorithms have been extremely successful at solving certain problems. But they implement a very simple model of evolutionary biology that misses out several aspects that might be exploited by more sophisticated algorithms. We have previously critiqued the traditional naive approach to bio-inspired algorithm design, that moves straight from a simplistic description of the biology into some algorithm. Here we present a process for developing richer evolutionary algorithms abstracted from various processes of biological evolution, with a corresponding richer analogical computational structure, and indicate how that might be further abstracted.

KW - evolutionary algorithms

KW - meta-evolution

KW - CELL

M3 - Conference contribution

SN - 978-3-540-74912-7

SP - 1151

EP - 1160

BT - Advances in Artificial Life, Proceedings

A2 - Costa, FAE

A2 - Rocha, LM

A2 - Costa, E

A2 - Harvey, I

A2 - Coutinho, A

PB - Springer

CY - BERLIN

T2 - 9th European Conference on Artificial Life

Y2 - 10 September 2007 through 14 September 2007

ER -