13 search results - page 2 / 3 » On the Power of Robust Solutions in Two-Stage Stochastic and... |
EOR
2010
13 years 5 months ago
2010
Continuous GRASP (C-GRASP) is a stochastic local search metaheuristic for finding cost-efficient solutions to continuous global optimization problems subject to box constraints (Hi...
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
When applied to real-world problems, the powerful optimization tool of Evolutionary Algorithms frequently turns out to be too time-consuming due to elaborate fitness calculations t...
GECCO
2009
Springer
13 years 3 months ago
2009
Springer
The covariance matrix adaptation evolution strategy (CMAES) has proven to be a powerful method for reinforcement learning (RL). Recently, the CMA-ES has been augmented with an ada...
MEMETIC
2010
12 years 12 months ago
2010
In combinatorial solution spaces Iterated Local Search (ILS) turns out to be exceptionally successful. The question arises: is ILS also capable of improving the optimization proces...
ISCAS
2005
IEEE
13 years 10 months ago
2005
IEEE
— Simulated Evolution (SimE) is a sound stochastic approximation algorithm based on the principles of adaptation. If properly engineered it is possible for SimE to reach nearopti...