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A Life Cycle for Clusters?Clusters, change and adaptation — Simulation results

A Life Cycle for Clusters?: Clusters, change and adaptation — Simulation results 7.3 Number, optimality and spread of modifications: Driving adaptability 135 8 Clusters, change and adaptation – Simulation results The simulation model developed in Chap. 7 is a tool for analysing the roles of di- vision of labour and co-ordination in cluster adaptation to change events. This aim is achieved by building clusters with different given architectures that might have evolved throughout the development preceding the change event in each case. The model then simulates and compares the adaptive performance of these clusters both with respect to one another as well as between different degrees of fitness landscape complexity (different parameter settings). Adaptability then relates to the system’s ability to discover good (fit) configurations following a change event. Comparing adaptive performance of clusters over different parameter settings accounts for the role of the extent of division of labour. The simulations find (in line with previous research on N/K systems; see Sect. 6.1.1) an optimum degree of interdependence (complexity) for all modes of co-ordination. In the context of clusters, this means that there is an optimum degree of division of labour that maximises adaptive performance. Comparing adaptation in clusters with different architectures regarding agents’ selection mechanisms gives an account of the http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A Life Cycle for Clusters?Clusters, change and adaptation — Simulation results

Part of the Contributions to Economics Book Series
A Life Cycle for Clusters? — Jan 1, 2006
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Publisher
Physica-Verlag HD
Copyright
© Physica-Verlag Heidelberg 2006
ISBN
978-3-7908-1710-2
Pages
135 –160
DOI
10.1007/3-7908-1763-5_8
Publisher site
See Chapter on Publisher Site

Abstract

7.3 Number, optimality and spread of modifications: Driving adaptability 135 8 Clusters, change and adaptation – Simulation results The simulation model developed in Chap. 7 is a tool for analysing the roles of di- vision of labour and co-ordination in cluster adaptation to change events. This aim is achieved by building clusters with different given architectures that might have evolved throughout the development preceding the change event in each case. The model then simulates and compares the adaptive performance of these clusters both with respect to one another as well as between different degrees of fitness landscape complexity (different parameter settings). Adaptability then relates to the system’s ability to discover good (fit) configurations following a change event. Comparing adaptive performance of clusters over different parameter settings accounts for the role of the extent of division of labour. The simulations find (in line with previous research on N/K systems; see Sect. 6.1.1) an optimum degree of interdependence (complexity) for all modes of co-ordination. In the context of clusters, this means that there is an optimum degree of division of labour that maximises adaptive performance. Comparing adaptation in clusters with different architectures regarding agents’ selection mechanisms gives an account of the

Published: Jan 1, 2006

Keywords: Agent Group; Adaptive Performance; Average Fitness; Fitness Landscape; Cluster Adaptation

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