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GECCO
2006
Springer
144views Optimization» more  GECCO 2006»
13 years 11 months ago
Towards estimating nadir objective vector using evolutionary approaches
Nadir point plays an important role in multi-objective optimization because of its importance in estimating the range of objective values corresponding to desired Pareto-optimal s...
Kalyanmoy Deb, Shamik Chaudhuri, Kaisa Miettinen
GECCO
2004
Springer
244views Optimization» more  GECCO 2004»
14 years 1 months ago
Using Clustering Techniques to Improve the Performance of a Multi-objective Particle Swarm Optimizer
In this paper, we present an extension of the heuristic called “particle swarm optimization” (PSO) that is able to deal with multiobjective optimization problems. Our approach ...
Gregorio Toscano Pulido, Carlos A. Coello Coello
EC
2008
153views ECommerce» more  EC 2008»
13 years 7 months ago
On Complexity of Optimal Recombination for Binary Representations of Solutions
We consider an optimization problem of finding the best possible offspring as a result of a recombination operator in an evolutionary algorithm, given two parent solutions. The op...
Anton V. Eremeev
TSMC
2010
13 years 2 months ago
Multiobjective Optimization of Temporal Processes
Abstract--This paper presents a dynamic predictiveoptimization framework of a nonlinear temporal process. Datamining (DM) and evolutionary strategy algorithms are integrated in the...
Zhe Song, Andrew Kusiak
GECCO
2009
Springer
129views Optimization» more  GECCO 2009»
13 years 11 months ago
Evolutionary functional testing of continuous control systems
Evolutionary functional testing is an approach to automatically generating test cases that violate a certain functional system requirement. This paper proposes an approach suitabl...
Andreas Windisch, Felix Lindlar, Sebastian Topuz, ...