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338
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EC
2012
289views ECommerce» more  EC 2012»
13 years 11 months ago
Multimodal Optimization Using a Bi-Objective Evolutionary Algorithm
In a multimodal optimization task, the main purpose is to find multiple optimal solutions (global and local), so that the user can have a better knowledge about different optima...
Kalyanmoy Deb, Amit Saha
132
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SCALESPACE
2009
Springer
15 years 10 months ago
A Scale-Space Approach to Landmark Constrained Image Registration
Adding external knowledge improves the results for ill-posed problems. In this paper we present a new multi-level optimization framework for image registration when adding landmark...
Eldad Haber, Stefan Heldmann, Jan Modersitzki
139
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EMO
2001
Springer
209views Optimization» more  EMO 2001»
15 years 8 months ago
Comparison of Evolutionary and Deterministic Multiobjective Algorithms for Dose Optimization in Brachytherapy
We compare two multiobjective evolutionary algorithms, with deterministic gradient based optimization methods for the dose optimization problem in high-dose rate (HDR) brachythera...
Natasa Milickovic, Michael Lahanas, Dimos Baltas, ...
131
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ICDCN
2009
Springer
15 years 8 months ago
Optimizing Multi-hop Queries in ZigBee Based Multi-sink Sensor Networks
Wireless sensor networks with multiple users collecting data directly from the sensors have many potential applications. An important problem is to allocate for each user a query r...
Bing Han, Gwendal Simon
149
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GECCO
2000
Springer
113views Optimization» more  GECCO 2000»
15 years 7 months ago
The Effects of Locality on the Dynamics of Decoder-Based Evolutionary Search
The success of decoder-based evolutionary algorithms (EAs) strongly depends on the achieved locality of operators and decoders. Most approaches to investigate locality properties ...
Jens Gottlieb, Günther R. Raidl