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» Hybrid Optimizations: Which Optimization Algorithm to Use
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127
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KES
1998
Springer
15 years 7 months ago
Properties of robust solution searching in multi-dimensional space with genetic algorithms
-A large number of studies on Genetic Algorithms (GAs) emphasize finding a globally optimal solution. Some other investigations have also been made for detecting multiple solutions...
Shigeyoshi Tsutsui, Lakhmi C. Jain
124
Voted
GECCO
2003
Springer
132views Optimization» more  GECCO 2003»
15 years 8 months ago
Evolutionary Multimodal Optimization Revisited
Abstract. We revisit a class of multimodal function optimizations using evolutionary algorithms reformulated into a multiobjective framework where previous implementations have nee...
Rajeev Kumar, Peter Rockett
132
Voted
ISCAS
1999
IEEE
106views Hardware» more  ISCAS 1999»
15 years 7 months ago
Adaptive minimax filtering via recursive optimal quadratic approximations
This paper considers the minimax filtering problem in which the supremum norm of weighted error sequence is minimized. It is shown that the minimax solution is also the optimal Se...
S. Gollamudi, Yih-Fang Huang
131
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DAGM
2010
Springer
15 years 4 months ago
Uncertainty Driven Multi-scale Optimization
This paper proposes a new multi-scale energy minimization algorithm which can be used to efficiently solve large scale labelling problems in computer vision. The basic modus operan...
Pushmeet Kohli, Victor S. Lempitsky, Carsten Rothe...
JMLR
2012
13 years 6 months ago
SpeedBoost: Anytime Prediction with Uniform Near-Optimality
We present SpeedBoost, a natural extension of functional gradient descent, for learning anytime predictors, which automatically trade computation time for predictive accuracy by s...
Alexander Grubb, Drew Bagnell