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COR
2010
121views more  COR 2010»
13 years 7 months ago
A multi-objective approach for robust airline scheduling
We present a memetic approach for multi-objective improvement of robustness influencing features (called robustness objectives) in airline schedules. Improvement of the objectives...
Edmund K. Burke, Patrick De Causmaecker, Geert De ...
SAGA
2001
Springer
13 years 12 months ago
Evolutionary Search for Smooth Maps in Motor Control Unit Calibration
We study the combinatorial optimization task of choosing the smoothest map from a given family of maps, which is motivated from motor control unit calibration. The problem is of a ...
Jan Poland, Kosmas Knödler, Alexander Mittere...
CEC
2010
IEEE
12 years 11 months ago
Revisiting Evolutionary Information Filtering
— Adaptive Information Filtering seeks a solution to the problem of information overload through a tailored representation of the user’s interests, called user profile, which ...
Nikolaos Nanas, Stefanos Kodovas, Manolis Vavalis
GECCO
2007
Springer
181views Optimization» more  GECCO 2007»
14 years 1 months ago
A study on metamodeling techniques, ensembles, and multi-surrogates in evolutionary computation
Surrogate-Assisted Memetic Algorithm(SAMA) is a hybrid evolutionary algorithm, particularly a memetic algorithm that employs surrogate models in the optimization search. Since mos...
Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendh...
GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
14 years 1 months ago
Enhancing differential evolution performance with local search for high dimensional function optimization
In this paper, we proposed Fittest Individual Refinement (FIR), a crossover based local search method for Differential Evolution (DE). The FIR scheme accelerates DE by enhancing...
Nasimul Noman, Hitoshi Iba