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EMO
2005
Springer
68views Optimization» more  EMO 2005»
16 years 10 days ago
Multi-objective Optimization of Problems with Epistemic Uncertainty
Abstract. Multi-objective evolutionary algorithms (MOEAs) have proven to be a powerful tool for global optimization purposes of deterministic problem functions. Yet, in many real-w...
Philipp Limbourg
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
16 years 9 days ago
Fitness inheritance for noisy evolutionary multi-objective optimization
This paper compares the performance of anti-noise methods, particularly probabilistic and re-sampling methods, using NSGA2. It then proposes a computationally less expensive appro...
Lam Thu Bui, Hussein A. Abbass, Daryl Essam
GECCO
2005
Springer
135views Optimization» more  GECCO 2005»
16 years 9 days ago
Improving particle swarm optimization with differentially perturbed velocity
This paper introduces a novel scheme of improving the performance of particle swarm optimization (PSO) by a vector differential operator borrowed from differential evolution (DE)....
Swagatam Das, Amit Konar, Uday Kumar Chakraborty
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
16 years 9 days ago
A genetic algorithm for optimized reconstruction of quantized one-dimensional signals
This paper describes a genetic algorithm (GA) that evolves optimized sets of coefficients for one-dimensional signal reconstruction under lossy conditions due to quantization. Beg...
Frank W. Moore
GFKL
2005
Springer
97views Data Mining» more  GFKL 2005»
16 years 9 days ago
Parameter Optimization in Automatic Transcription of Music
Based on former work on automatic transcription of musical time series into sheet music (Ligges et al. (2002), Weihs and Ligges (2003, 2005)) in this paper parameters of the transc...
Claus Weihs, Uwe Ligges