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PPSN
2010
Springer
15 years 1 months ago
Design and Comparison of two Evolutionary Approaches for Solving the Rubik's Cube
Solutions calculated by Evolutionary Algorithms have come to surpass exact methods for solving various problems. The Rubik’s Cube multiobjective optimization problem is one such ...
Nail El-Sourani, Markus Borschbach
WSC
2004
15 years 4 months ago
Solving Stochastic Mathematical Programs with Complementarity Constraints Using Simulation
Recently, simulation-based methods have been successfully used for solving challenging stochastic optimization problems and equilibrium models. Here we report some of the recent p...
S. Ilker Birbil, Gül Gürkan, Ovidiu List...
CVPR
2005
IEEE
16 years 5 months ago
Analytically Solving Radial Distortion Parameters
Most camera calibration algorithms consider parameters that define the lens distortion mapping. The usual way to determine these parameters is to minimize a nonlinear optimization...
Simone Graf, Tobias Hanning
GECCO
2005
Springer
139views Optimization» more  GECCO 2005»
15 years 8 months ago
Solving large scale combinatorial optimization using PMA-SLS
Memetic algorithms have become to gain increasingly important for solving large scale combinatorial optimization problems. Typically, the extent of the application of local search...
Jing Tang, Meng-Hiot Lim, Yew-Soon Ong, Meng Joo E...
TSMC
2008
147views more  TSMC 2008»
15 years 3 months ago
A New Approach for Solving Nonlinear Equations Systems
This paper proposes a new perspective for solving systems of complex nonlinear equations by simply viewing them as a multiobjective optimization problem. Every equation in the syst...
Crina Grosan, Ajith Abraham