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» Evolutionary computation: a unified approach
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CDC
2009
IEEE
156views Control Systems» more  CDC 2009»
15 years 4 months ago
The nullspace method - a unifying paradigm to fault detection
— The nullspace method is a powerful framework to solve the synthesis problem of fault detection filters in the most general setting. It is also well suited to address the least...
András Varga
CORR
2008
Springer
119views Education» more  CORR 2008»
14 years 10 months ago
Unified storage systems for distributed Tier-2 centres
The start of data taking at the Large Hadron Collider will herald a new era in data volumes and distributed processing in particle physics. Data volumes of hundreds of Terabytes wi...
Greig A. Cowan, Graeme A. Stewart, Andrew Elwell
TEC
2010
191views more  TEC 2010»
14 years 6 months ago
Particle Swarm Optimization Aided Orthogonal Forward Regression for Unified Data Modeling
We propose a unified data modeling approach that is equally applicable to supervised regression and classification applications, as well as to unsupervised probability density func...
Sheng Chen, Xia Hong, Chris J. Harris
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
15 years 5 months 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
CEC
2009
IEEE
15 years 6 months ago
Local search based evolutionary multi-objective optimization algorithm for constrained and unconstrained problems
Abstract— Evolutionary multi-objective optimization algorithms are commonly used to obtain a set of non-dominated solutions for over a decade. Recently, a lot of emphasis have be...
Karthik Sindhya, Ankur Sinha, Kalyanmoy Deb, Kaisa...