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GECCO
2005
Springer
175views Optimization» more  GECCO 2005»
14 years 29 days ago
Meta-grammar constant creation with grammatical evolution by grammatical evolution
This study examines the utility of meta-grammar constant generation on a series of benchmark problems. The performance of the meta-grammar approach is compared to a grammar which ...
Ian Dempsey, Michael O'Neill, Anthony Brabazon
ACRI
2008
Springer
14 years 1 months ago
GP Generation of Pedestrian Behavioral Rules in an Evacuation Model Based on SCA
This paper presents a research in the context of pedestrian dynamics according to Situated Cellular Agent (SCA), a Multi-Agent Systems approach whose roots are on Cellular Automata...
Stefania Bandini, Sara Manzoni, Giancarlo Mauri, S...
CEC
2005
IEEE
14 years 1 months ago
CasGP: building cascaded hierarchical models using niching
— A Cascaded model is introduced for mining large datasets using Genetic Programming without recourse to specialist hardware. Such an algorithm satisfies the seeming conflictin...
Peter Lichodzijewski, Malcolm I. Heywood, A. Nur Z...
CIG
2005
IEEE
14 years 1 months ago
Nannon: A Nano Backgammon for Machine Learning Research
A newly designed game is introduced, which feels like Backgammon, but has a simplified rule set. Unlike earlier attempts at simplifying the game, Nannon maintains enough features a...
Jordan B. Pollack
GECCO
2005
Springer
137views Optimization» more  GECCO 2005»
14 years 29 days ago
Constant generation for the financial domain using grammatical evolution
This study reports the work to date on the analysis of different methodologies for constant creation with the aim of applying the most advantageous method to the dynamic real wor...
Ian Dempsey