%0 Conference Paper %1 DiChio:2005:gsice %A Di Chio, Cecilia %A Poli, Riccardo %A Langdon, William B. %B AI*IA Workshop on Evolutionary Computation, Evoluzionistico GSICE05 %C University of Milan Bicocca, Italy %D 2005 %E Manzoni, Sara %E Palmonari, Matteo %E Sartori, Fabio %K XPS algorithms, genetic programming, %T Evolution of Force-Generating Equations for PSO using GP %U http://www.cs.essex.ac.uk/staff/poli/papers/gsice2005.pdf %X We extend our previous research on evolving the physical forces which control particle swarms by considering additional ingredients, such as the velocity of the neighbourhood best and time, and different neighbourhood topologies, namely the global and local ones. We test the evolved extended PSOs (XPSOs) on various classes of benchmark problems. We show that evolutionary computation, and in particular genetic programming (GP), can automatically generate new PSO algorithms that outperform standard PSOs designed by people as well as some previously evolved ones. %@ 88-900910-0-2

@inproceedings{DiChio:2005:gsice, abstract = {We extend our previous research on evolving the physical forces which control particle swarms by considering additional ingredients, such as the velocity of the neighbourhood best and time, and different neighbourhood topologies, namely the global and local ones. We test the evolved extended PSOs (XPSOs) on various classes of benchmark problems. We show that evolutionary computation, and in particular genetic programming (GP), can automatically generate new PSO algorithms that outperform standard PSOs designed by people as well as some previously evolved ones.}, added-at = {2008-06-19T17:35:00.000+0200}, address = {University of Milan Bicocca, Italy}, author = {{Di Chio}, Cecilia and Poli, Riccardo and Langdon, William B.}, biburl = {https://www.bibsonomy.org/bibtex/2d49c1aeb1dfa52192353f78fc72b63f4/brazovayeye}, booktitle = {AI*IA Workshop on Evolutionary Computation, Evoluzionistico GSICE05}, editor = {Manzoni, Sara and Palmonari, Matteo and Sartori, Fabio}, interhash = {961967c56b4e1daed6403efaf393c596}, intrahash = {d49c1aeb1dfa52192353f78fc72b63f4}, isbn = {88-900910-0-2}, keywords = {XPS algorithms, genetic programming,}, month = {20 September}, notes = {http://www.ce.unipr.it/people/cagnoni/gsice2005/gsice-eng.pdf Workshop proceedings on CD-ROM only. Workshop held in-conjunction with the IX Congress of the Italian Association for Artificial Intelligence. In English. Winner of Best Paper Award}, size = {10 pages}, timestamp = {2008-06-19T17:38:41.000+0200}, title = {Evolution of Force-Generating Equations for {PSO} using {GP}}, url = {http://www.cs.essex.ac.uk/staff/poli/papers/gsice2005.pdf}, year = 2005 }