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Meta-optimization

In numerical optimization, meta-optimization is the use of one optimization method to tune another optimization method. Meta-optimization is reported… Expand
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Papers overview

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2019
2019
Properly configuring Evolutionary Algorithms (EAs) is a challenging task made difficult by many different details that affect EAs… Expand
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2018
2018
Careful tuning of the learning rate, or even schedules thereof, can be crucial to effective neural net training. There has been… Expand
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Highly Cited
2018
Highly Cited
2018
Domain shift refers to the well known problem that a model trained in one source domain performs poorly when applied to a target… Expand
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2018
2018
Abstract Well placement optimization is a complex and time-consuming task. An efficient and robust algorithm can improve the… Expand
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2017
2017
In this paper, we solve the Set Covering Problem with a meta-optimization approach. One of the most popular models among facility… Expand
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2014
2014
The damage identification problem is one of crucial problems during operation of machines' elements made of polymeric composites… Expand
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2011
2011
The introduction of 3D chip architectures is an increasingly attractive integration solution due to the potential performance… Expand
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2011
2011
The quality of a heuristic optimization algorithm is strongly dependent on its parameter values. Finding the optimal parameter… Expand
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2011
2011
Time series derived from the first two spectral bands of the MODerate-resolution Imaging Spectroradiometer (MODIS) land surface… Expand
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Highly Cited
2010
Highly Cited
2010
The general purpose optimization method known as Particle Swarm Optimization (PSO) has received much attention in past years… Expand
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