Please use this identifier to cite or link to this item:
Title: Adaptivity in cell based optimization for information ecosystems
Authors: Rothermich, JA
Wang, F
Miller, JF
Keywords: Cell based optimization;Cellular slime molds;Dictyostellium discoideum
Issue Date: 2003
Publisher: IEEE
Citation: Proceedings of the 2003 Congress on Evolutionary Computation, pp. 490 - 497, (8-12 December 2003)
Abstract: A cell based optimization (CBO) algorithm is proposed which takes inspiration from the collective behaviour of cellular slime molds (Dictyostellium discoideum). Experiments with CBO are conducted to study the ability of simple cell-like agents to collectively manage resources across a distributed network. Cells, or agents, only have local information can signal, move, divide, and die. Heterogeneous populations of the cells are evolved using Cartesian genetic programming (CGP). Several experiments were carried out to examine the adaptation of cells to changing user demand patterns. CBO performance was compared using various methods to change demand. The experiments showed that populations consistently evolve to produce effective solutions. The populations produce better solutions when user demand patterns fluctuated over time instead of environments with static demand. This is a surprising result that shows that populations need to be challenged during the evolutionary process to produce good results.
Appears in Collections:Dept of Computer Science Research Papers

Files in This Item:
File Description SizeFormat 
Fulltext.pdf194.78 kBAdobe PDFView/Open

Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.