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GECCO
2007
Springer
217views Optimization» more  GECCO 2007»
13 years 9 months ago
A quantitative analysis of memory requirement and generalization performance for robotic tasks
In autonomous agent systems, memory is an important element to handle agent behaviors appropriately. We present the analysis of memory requirements for robotic tasks including wal...
DaeEun Kim
GECCO
2010
Springer
127views Optimization» more  GECCO 2010»
13 years 6 months ago
Set-based multi-objective optimization, indicators, and deteriorative cycles
Evolutionary multi-objective optimization deals with the task of computing a minimal set of search points according to a given set of objective functions. The task has been made e...
Rudolf Berghammer, Tobias Friedrich, Frank Neumann
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
2010
Springer
141views Optimization» more  GECCO 2010»
13 years 10 months ago
Today/future importance analysis
SBSE techniques have been widely applied to requirements selection and prioritization problems in order to ascertain a suitable set of requirements for the next release of a syste...
Yuanyuan Zhang, Enrique Alba, Juan J. Durillo, Sig...
TEC
2008
88views more  TEC 2008»
13 years 7 months ago
A Simulated Annealing-Based Multiobjective Optimization Algorithm: AMOSA
This paper describes a simulated annealing based multiobjective optimization algorithm that incorporates the concept of archive in order to provide a set of tradeoff solutions for ...
Sanghamitra Bandyopadhyay, Sriparna Saha, Ujjwal M...