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» Solving iterated functions using genetic programming
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143
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GECCO
2004
Springer
15 years 9 months ago
Limit Cycle Prediction in Multivariable Nonlinear Systems Using Genetic Algorithms
Abstract. This paper presents an intelligent method based on multiuobjective genetic algorithm (MOGA) for prediction of limit cycle in multivariable nonlinear systems. First we add...
Farzan Rashidi, Mehran Rashidi
NIPS
2007
15 years 5 months ago
Random Sampling of States in Dynamic Programming
We combine three threads of research on approximate dynamic programming: sparse random sampling of states, value function and policy approximation using local models, and using lo...
Christopher G. Atkeson, Benjamin Stephens
131
Voted
GECCO
2003
Springer
107views Optimization» more  GECCO 2003»
15 years 8 months ago
Exploration of a Two Sided Rendezvous Search Problem Using Genetic Algorithms
The problem of searching for a walker that wants to be found, when the walker moves toward the helicopter when it can hear it, is an example of a two sided search problem which is ...
T. Q. S. Truong, A. Stacey
118
Voted
EUROCAST
2005
Springer
86views Hardware» more  EUROCAST 2005»
15 years 9 months ago
Convergence of Iterations
Convergence is a central problem in both computer science and in population biology. Will a program terminate? Will a population go to an equilibrium? In general these questions ar...
Paul Cull
128
Voted
FSTTCS
2007
Springer
15 years 9 months ago
Solving Parity Games in Big Steps
Abstract. This paper proposes a new algorithm that improves the complexity bound for solving parity games. Our approach combines McNaughton’s iterated fixed point algorithm with...
Sven Schewe