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ISCAS
2005
IEEE
179views Hardware» more  ISCAS 2005»
15 years 10 months ago
Robust stabilization of control systems using piecewise linear Lyapunov functions and evolutionary algorithm
— Piecewise linear Lyapunov functions are used to design control gain matrices so that closed systems are robust stable and attractive regions are expanded as large as possible i...
K. Tagawa, Y. Ohta
GECCO
2004
Springer
100views Optimization» more  GECCO 2004»
15 years 10 months ago
Transfer of Neuroevolved Controllers in Unstable Domains
In recent years, the evolution of artificial neural networks or neuroevolution has brought promising results in solving difficult reinforcement learning problems. But, like standa...
Faustino J. Gomez, Risto Miikkulainen
133
Voted
KR
1994
Springer
15 years 8 months ago
Risk-Sensitive Planning with Probabilistic Decision Graphs
Probabilistic AI planning methods that minimize expected execution cost have a neutral attitude towards risk. We demonstrate how one can transform planning problems for risk-sensi...
Sven Koenig, Reid G. Simmons
CEC
2008
IEEE
15 years 5 months ago
A technique for the visualization of population-based algorithms
— A technique for the visualization of stochastic population–based algorithms in multidimensional problems with known global minimizers is proposed. The technique employs proje...
Konstantinos E. Parsopoulos, Voula C. Georgopoulos...
ICTAI
2005
IEEE
15 years 10 months ago
Subgoal Ordering and Granularity Control for Incremental Planning
In this paper, we study strategies in incremental planning for ordering and grouping subproblems partitioned by the subgoals of a planning problem when each subproblem is solved b...
Chih-Wei Hsu, Yixin Chen