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GECCO
2008
Springer
139views Optimization» more  GECCO 2008»
13 years 8 months ago
Evolutionary design of dynamic SwarmScapes
This paper discusses interactive evolutionary algorithms and their application in swarm-based image generation. From an artistā€™s perspective, the computer-generated patterns oļ¬...
Namrata Khemka, Scott Novakowski, Gerald Hushlak, ...
GECCO
2011
Springer
264views Optimization» more  GECCO 2011»
12 years 11 months ago
Critical factors in the performance of novelty search
Novelty search is a recently proposed method for evolutionary computation designed to avoid the problem of deception, in which the ļ¬tness function guides the search process away...
Steijn Kistemaker, Shimon Whiteson
GECCO
2008
Springer
120views Optimization» more  GECCO 2008»
13 years 8 months ago
A robust evolutionary framework for multi-objective optimization
Evolutionary multi-objective optimization (EMO) methodologies, suggested in the beginning of Nineties, focussed on the task of ļ¬nding a set of well-converged and well-distribute...
Kalyanmoy Deb
EMO
2001
Springer
225views Optimization» more  EMO 2001»
14 years 5 days ago
Application of Multiobjective Evolutionary Algorithms for Dose Optimization Problems in Brachytherapy
In High Dose Rate (HDR) brachytherapy the conventional dose optimization algorithms consider the multiple objectives in form of an aggregate function which combines individual obj...
Michael Lahanas, Natasa Milickovic, Dimos Baltas, ...
CEC
2005
IEEE
14 years 1 months ago
Complementary selection and variation for an efficient multiobjective optimization of complex systems
Real-world applications generally distinguish themselves from theoretical developments in that they are much more complex and varied. As a consequence, better models require more d...
Benoît Bagot, Hartmut Pohlheim