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An Investigation into how concepts of modularity affect the evolution of complex morphologies

An Investigation into how concepts of modularity affect the evolution of complex morphologies
An Investigation into how concepts of modularity affect the evolution of complex morphologies
There are many different ways in which complex morphologies can be represented. While a simple string representation could be sufficient, often the most impressive artificial life simulations utilise. Context Free Grammars (1994, Karl Sims) or Recursive Tree Structures. When modelling a complex morphology using these encodings, it is possible to harness the creatures complex modularity to create more sensible and fit individuals. This article aims to compare and contrast the varying affects of evolutionary algorithms which utilise or disregard the organisms modularity.
Fernando, Liam Ranil
4e6d58c9-c792-4e40-bd0f-7bbbf9553f13
Fernando, Liam Ranil
4e6d58c9-c792-4e40-bd0f-7bbbf9553f13

Fernando, Liam Ranil (2010) An Investigation into how concepts of modularity affect the evolution of complex morphologies (In Press)

Record type: Monograph (Project Report)

Abstract

There are many different ways in which complex morphologies can be represented. While a simple string representation could be sufficient, often the most impressive artificial life simulations utilise. Context Free Grammars (1994, Karl Sims) or Recursive Tree Structures. When modelling a complex morphology using these encodings, it is possible to harness the creatures complex modularity to create more sensible and fit individuals. This article aims to compare and contrast the varying affects of evolutionary algorithms which utilise or disregard the organisms modularity.

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Accepted/In Press date: 12 January 2010
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 268543
URI: http://eprints.soton.ac.uk/id/eprint/268543
PURE UUID: 4fe9e144-bd37-4321-b2fb-66dad3616c7f

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Date deposited: 22 Feb 2010 20:22
Last modified: 14 Mar 2024 09:12

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Contributors

Author: Liam Ranil Fernando

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