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» Evolutionary multiobjective optimization
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PPSN
2010
Springer
14 years 12 months ago
Tight Bounds for the Approximation Ratio of the Hypervolume Indicator
The hypervolume indicator is widely used to guide the search and to evaluate the performance of evolutionary multi-objective optimization algorithms. It measures the volume of the ...
Karl Bringmann, Tobias Friedrich
TEC
2008
98views more  TEC 2008»
15 years 1 months ago
A Fast Incremental Hypervolume Algorithm
When hypervolume is used as part of the selection or archiving process in a multiobjective evolutionary algorithm, it is necessary to determine which solutions contribute the least...
Lucas Bradstreet, R. Lyndon While, Luigi Barone
CEC
2007
IEEE
15 years 7 months ago
How well do multi-objective evolutionary algorithms scale to large problems
Abstract— In spite of large amount of research work in multiobjective evolutionary algorithms, most have evaluated their algorithms on problems with only two to four objectives. ...
Kata Praditwong, Xin Yao
BIOSYSTEMS
2007
72views more  BIOSYSTEMS 2007»
15 years 1 months ago
On the use of multi-objective evolutionary algorithms for survival analysis
This paper proposes and evaluates a multi-objective evolutionary algorithm for survival analysis. One aim of survival analysis is the extraction of models from data that approxima...
Christian Setzkorn, Azzam Fouad George Taktak, Ber...
EOR
2002
125views more  EOR 2002»
15 years 1 months ago
Genetic local search for multi-objective combinatorial optimization
The paper presents a new genetic local search algorithm for multi-objective combinatorial optimization. The goal of the algorithm is to generate in a short time a set of approxima...
Andrzej Jaszkiewicz