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GECCO
2005
Springer
120views Optimization» more  GECCO 2005»
13 years 10 months ago
Exploiting gradient information in numerical multi--objective evolutionary optimization
Various multi–objective evolutionary algorithms (MOEAs) have obtained promising results on various numerical multi– objective optimization problems. The combination with gradi...
Peter A. N. Bosman, Edwin D. de Jong
GECCO
2005
Springer
175views Optimization» more  GECCO 2005»
13 years 10 months ago
An approach for QoS-aware service composition based on genetic algorithms
Web services are rapidly changing the landscape of software engineering. One of the most interesting challenges introduced by web services is represented by Quality Of Service (Qo...
Gerardo Canfora, Massimiliano Di Penta, Raffaele E...
GECCO
2005
Springer
117views Optimization» more  GECCO 2005»
13 years 10 months ago
Evolutionary algorithms for medical simulations: a case study in minimally-invasive vascular interventions
To obtain the expertise to correctly perform minimally– invasive vascular interventions thorough training is required. Training using simulation systems are increasingly becomin...
Peter A. N. Bosman, Tanja Alderliesten
GECCO
2005
Springer
119views Optimization» more  GECCO 2005»
13 years 10 months ago
Learning, anticipation and time-deception in evolutionary online dynamic optimization
In this paper we focus on an important source of problem– difficulty in (online) dynamic optimization problems that has so far received significantly less attention than the tr...
Peter A. N. Bosman
GECCO
2005
Springer
13 years 10 months ago
Evolving an improved axial structure for fibrillar collagen
David E. Cairns, G. J. Cameron, T. J. Wess
GECCO
2005
Springer
109views Optimization» more  GECCO 2005»
13 years 10 months ago
A hybrid evolutionary algorithm for the p-median problem
A hybrid evolutionary algorithm (EA) for the p-median problem consist of two stages, each of which is a steady-state hybrid EA. These EAs encode selections of medians as subsets o...
István Borgulya
GECCO
2005
Springer
113views Optimization» more  GECCO 2005»
13 years 10 months ago
Estimating the detector coverage in a negative selection algorithm
This paper proposes a statistical mechanism to analyze the detector coverage in a negative selection algorithm, namely a quantitative measurement of a detector set’s capability ...
Zhou Ji, Dipankar Dasgupta
GECCO
2005
Springer
109views Optimization» more  GECCO 2005»
13 years 10 months ago
Information landscapes and the analysis of search algorithms
In [15] we introduced the information landscape as a new concept of a landscape. We showed that for a landscape of a small size, information landscape theory can be used to predic...
Yossi Borenstein, Riccardo Poli