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GECCO
2003
Springer
138views Optimization» more  GECCO 2003»
16 years 3 days ago
Emergence of Collective Behavior in Evolving Populations of Flying Agents
We demonstrate the emergence of collective behavior in two evolutionary computation systems, one an evolutionary extension of a classic (highly constrained) flocking algorithm and...
Lee Spector, Jon Klein, Chris Perry, Mark Feinstei...
174
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BIOADIT
2004
Springer
16 years 8 days ago
Searching for a Practical Evidence of the No Free Lunch Theorems
Abstract. According to the No Free Lunch (NFL) theorems all blackbox algorithms perform equally well when compared over the entire set of optimization problems. An important proble...
Mihai Oltean
TEC
2010
132views more  TEC 2010»
15 years 1 months ago
A Hybrid Evolutionary Approach to the Nurse Rostering Problem
Nurse rostering is a difficult search problem with many constraints. In the literature, a number of approaches have been investigated including penalty function methods to tackle t...
Ruibin Bai, Edmund K. Burke, Graham Kendall, Jingp...
DAGSTUHL
2007
15 years 8 months ago
Parallelism through Digital Circuit Design
Abstract. Two ways to exploit chips with a very large number of transistors are multicore processors and programmable logic chips. Some data parallel algorithms can be executed eď¬...
John O'Donnell
GECCO
2006
Springer
185views Optimization» more  GECCO 2006»
15 years 10 months ago
Robot gaits evolved by combining genetic algorithms and binary hill climbing
In this paper an evolutionary algorithm is used for evolving gaits in a walking biped robot controller. The focus is fast learning in a real-time environment. An incremental appro...
Lena Mariann Garder, Mats Erling Høvin