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EMO
2005
Springer
15 years 3 months ago
2005
Springer
Nearly all Multi-Objective Evolutionary Algorithms (MOEA) rely on random generation of initial population. In large and complex search spaces, this random method often leads to an ...
107
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ECML
2007
Springer
15 years 1 months ago
2007
Springer
Abstract. We present a new reinforcement learning approach for deterministic continuous control problems in environments with unknown, arbitrary reward functions. The difficulty of...
CORR
2011
Springer
14 years 1 months ago
2011
Springer
Efficient implementations of DPLL with the addition of clause learning are the fastest complete Boolean satisfiability solvers and can handle many significant real-world problem...
CEC
2007
IEEE
15 years 4 months ago
2007
IEEE
Abstract— For the past decade or so, evolutionary multiobjective optimization (EMO) methodologies have earned wide popularity for solving complex practical optimization problems,...
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HICSS
2008
IEEE
15 years 4 months ago
2008
IEEE
The digital divide is a complex and dynamic phenomenon. Despite extensive studies on the digital divide and its impact, developing countries, in particular, are still searching fo...