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» Evolutionary multiobjective optimization
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GECCO
2006
Springer
145views Optimization» more  GECCO 2006»
14 years 1 months ago
Multi-objective test problems, linkages, and evolutionary methodologies
Existing test problems for multi-objective optimization are criticized for not having adequate linkages among variables. In most problems, the Pareto-optimal solutions correspond ...
Kalyanmoy Deb, Ankur Sinha, Saku Kukkonen
ICST
2010
IEEE
13 years 8 months ago
TestFul: An Evolutionary Test Approach for Java
Abstract—This paper presents TestFul, an evolutionary testing approach for Java classes that works both at class and method level. TestFul exploits a multi-objective evolutionary...
Luciano Baresi, Pier Luca Lanzi, Matteo Miraz
GECCO
2008
Springer
186views Optimization» more  GECCO 2008»
13 years 10 months ago
A pareto following variation operator for fast-converging multiobjective evolutionary algorithms
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder, Michael Kirley, Ra...
GECCO
2003
Springer
115views Optimization» more  GECCO 2003»
14 years 2 months ago
A Specialized Island Model and Its Application in Multiobjective Optimization
This paper discusses a new model of parallel evolutionary algorithms (EAs) called the specialized island model (SIM) that can be used to generate a set of diverse non-dominated sol...
Ningchuan Xiao, Marc P. Armstrong
CEC
2010
IEEE
13 years 10 months ago
Functionalization of microarray devices: Process optimization using a multiobjective PSO and multiresponse MARS modeling
An evolutionary approach for the optimization of microarray coatings produced via sol-gel chemistry is presented. The aim of the methodology is to face the challenging aspects of t...
Laura Villanova, Paolo Falcaro, Davide Carta, Iren...