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» Indicator-Based Selection in Multiobjective Search
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CEC
2007
IEEE
14 years 1 months ago
Incrementally maximising hypervolume for selection in multi-objective evolutionary algorithms
— Several multi-objective evolutionary algorithms compare the hypervolumes of different sets of points during their operation, usually for selection or archiving purposes. The ba...
Lucas Bradstreet, R. Lyndon While, Luigi Barone
ICPR
2010
IEEE
13 years 10 months ago
Feature Selection Using Multiobjective Optimization for Named Entity Recognition
Appropriate feature selection is a very crucial issue in any machine learning framework, specially in Maximum Entropy (ME). In this paper, the selection of appropriate features for...
Asif Ekbal, Sriparna Saha
GECCO
2005
Springer
113views Optimization» more  GECCO 2005»
14 years 1 months ago
A multi-objective algorithm for DS-CDMA code design based on the clonal selection principle
This paper proposes a new algorithm based on the clonal selection principle for the design of spreading codes for DS-CDMA. The algorithm follows a multi-objective approach, genera...
Daniel Stevens, Sanjoy Das, Balasubramaniam Natara...
GECCO
2009
Springer
109views Optimization» more  GECCO 2009»
14 years 2 months ago
Crossover operators for multiobjective k-subset selection
Genetic algorithms are often applied to combinatorial optimization problems, the most popular one probably being the traveling salesperson problem. In contrast to permutations use...
Thorsten Meinl, Michael R. Berthold
CEC
2007
IEEE
14 years 1 months ago
Indicator-based multi-objective local search
— This paper presents a simple and generic indicator-based multi-objective local search. This algorithm is a direct extension of the IBEA algorithm, an indicatorbased evolutionar...
Matthieu Basseur, Edmund K. Burke