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GECCO
2007
Springer
300views Optimization» more  GECCO 2007»
15 years 3 months ago
Methodology to select solutions from the pareto-optimal set: a comparative study
The resolution of a Multi-Objective Optimization Problem (MOOP) does not end when the Pareto-optimal set is found. In real problems, a single solution must be selected. Ideally, t...
José C. Ferreira, Carlos M. Fonseca, Ant&oa...
SIAMJO
2008
112views more  SIAMJO 2008»
14 years 9 months ago
Parallel Space Decomposition of the Mesh Adaptive Direct Search Algorithm
This paper describes a Parallel Space Decomposition (PSD) technique for the Mesh Adaptive Direct Search (MADS) algorithm. MADS extends Generalized Pattern Search for constrained n...
Charles Audet, J. E. Dennis, Sébastien Le D...
EMO
2003
Springer
93views Optimization» more  EMO 2003»
15 years 2 months ago
Intensity Modulated Beam Radiation Therapy Dose Optimization with Multiobjective Evolutionary Algorithms
We apply the NSGA-II algorithm and its controlled elitist version NSGA-IIc for the intensity modulated beam radiotherapy dose optimization problem. We compare the performance of th...
Michael Lahanas, Eduard Schreibmann, Natasa Milick...
ALGOSENSORS
2004
Springer
15 years 3 months ago
Balanced Data Gathering in Energy-Constrained Sensor Networks
We consider the problem of gathering data from a wireless multi-hop network of energy-constrained sensor nodes to a common base station. Specifically, we aim to balance the total...
Emil Falck, Patrik Floréen, Petteri Kaski, ...
HICSS
1998
IEEE
169views Biometrics» more  HICSS 1998»
15 years 2 months ago
A Transmission-Constrained Unit Commitment Method
This paper presents a transmission-constrained unit commitment method using a Lagrangian relaxation approach. Based on a DC power flow model, the transmission constraints are form...
Chung-Li Tseng, Shmuel S. Oren, C. S. Cheng, C.-A....