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EVOW
2009
Springer
13 years 7 months ago
Staff Scheduling with Particle Swarm Optimisation and Evolution Strategies
The current paper uses a scenario from logistics to show that modern heuristics, and in particular particle swarm optimization (PSO) can significantly add to the improvement of sta...
Volker Nissen, Maik Günther
GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
13 years 9 months ago
An experimental analysis of evolution strategies and particle swarm optimisers using design of experiments
The success of evolutionary algorithms (EAs) depends crucially on finding suitable parameter settings. Doing this by hand is a very time consuming job without the guarantee to ...
Oliver Kramer, Bartek Gloger, Andreas Goebels
ATAL
2007
Springer
13 years 7 months ago
A unified framework for multi-agent agreement
Multi-Agent Agreement problems (MAP) - the ability of a population of agents to search out and converge on a common state - are central issues in many multi-agent settings, from d...
Kiran Lakkaraju, Les Gasser