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» On Set-Based Multiobjective Optimization
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GECCO
2008
Springer
109views Optimization» more  GECCO 2008»
13 years 9 months ago
A tunable model for multi-objective, epistatic, rugged, and neutral fitness landscapes
The fitness landscape of a problem is the relation between the solution candidates and their reproduction probability. In order to understand optimization problems, it is essenti...
Thomas Weise, Stefan Niemczyk, Hendrik Skubch, Rol...
ICML
2003
IEEE
14 years 8 months ago
Multi-Objective Programming in SVMs
We propose a general framework for support vector machines (SVM) based on the principle of multi-objective optimization. The learning of SVMs is formulated as a multiobjective pro...
Jinbo Bi
GECCO
2003
Springer
133views Optimization» more  GECCO 2003»
14 years 1 months ago
Optimisation of Reaction Mechanisms for Aviation Fuels Using a Multi-objective Genetic Algorithm
In this study a multi-objective genetic algorithm approach is developed for determining new reaction rate parameters for the combustion of kerosene/air mixtures. The multi-objectiv...
Lionel Elliott, Derek B. Ingham, Adrian G. Kyne, N...
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
GECCO
2009
Springer
118views Optimization» more  GECCO 2009»
14 years 2 months ago
A multiobjective evolutionary algorithm for the task based sailor assignment problem
Dipankar Dasgupta, Fernando Niño, Deon Garr...