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» Complexity of Counting the Optimal Solutions
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TEC
2008
88views more  TEC 2008»
13 years 11 months ago
A Simulated Annealing-Based Multiobjective Optimization Algorithm: AMOSA
This paper describes a simulated annealing based multiobjective optimization algorithm that incorporates the concept of archive in order to provide a set of tradeoff solutions for ...
Sanghamitra Bandyopadhyay, Sriparna Saha, Ujjwal M...
AAECC
2007
Springer
109views Algorithms» more  AAECC 2007»
14 years 5 months ago
The Tangent FFT
The split-radix FFT computes a size-n complex DFT, when n is a large power of 2, using just 4n lg n−6n+8 arithmetic operations on real numbers. This operation count was first an...
Daniel J. Bernstein
GECCO
2009
Springer
110views Optimization» more  GECCO 2009»
14 years 3 months ago
EMO shines a light on the holes of complexity space
Typical domains used in machine learning analyses only partially cover the complexity space, remaining a large proportion of problem difficulties that are not tested. Since the ac...
Núria Macià, Albert Orriols-Puig, Es...
ICML
2009
IEEE
14 years 11 months ago
Robot trajectory optimization using approximate inference
The general stochastic optimal control (SOC) problem in robotics scenarios is often too complex to be solved exactly and in near real time. A classical approximate solution is to ...
Marc Toussaint
FOCS
2009
IEEE
14 years 5 months ago
Smoothed Analysis of Multiobjective Optimization
Abstract— We prove that the number of Pareto-optimal solutions in any multiobjective binary optimization problem with a finite number of linear objective functions is polynomial...
Heiko Röglin, Shang-Hua Teng