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GECCO
2007
Springer
137views Optimization» more  GECCO 2007»
15 years 10 months ago
Learning and anticipation in online dynamic optimization with evolutionary algorithms: the stochastic case
The focus of this paper is on how to design evolutionary algorithms (EAs) for solving stochastic dynamic optimization problems online, i.e. as time goes by. For a proper design, t...
Peter A. N. Bosman, Han La Poutré
AE
2005
Springer
15 years 9 months ago
Outlines of Artificial Life: A Brief History of Evolutionary Individual Based Models
In the research field of Artificial Life, the concepts of emergence and adaptation form the basis of a class of models which describes reproducing individuals whose characteristics...
Stefan Bornhofen, Claude Lattaud
SAC
2004
ACM
15 years 9 months ago
A comparison of randomized and evolutionary approaches for optimizing base station site selection
It is increasingly important to optimally select base stations in the design of cellular networks, as customers demand cheaper and better wireless services. From a set of potentia...
Larry Raisanen, Roger M. Whitaker, Steve Hurley
GECCO
2006
Springer
176views Optimization» more  GECCO 2006»
15 years 8 months ago
Evolutionary interactive music composition
This paper proposes the CFE framework--Composition, Feedback, and Evolution--and presents an interactive music composition system. The system composes short, manageable pieces of ...
Tao-yang Fu, Tsu-yu Wu, Chin-te Chen, Kai-chu Wu, ...
GECCO
2008
Springer
163views Optimization» more  GECCO 2008»
15 years 5 months ago
Embedded evolutionary multi-objective optimization for worst case robustness
In Multi-Objective Problems (MOPs) involving uncertainty, each solution might be associated with a cluster of performances in the objective space depending on the possible scenari...
Gideon Avigad, Jürgen Branke