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ESA
2008
Springer
136views Algorithms» more  ESA 2008»
13 years 8 months ago
Oblivious Randomized Direct Search for Real-Parameter Optimization
The focus is on black-box optimization of a function f : RN R given as a black box, i. e. an oracle for f-evaluations. This is commonly called direct search, and in fact, most meth...
Jens Jägersküpper
GECCO
2004
Springer
14 years 3 days ago
Upper Bounds on the Time and Space Complexity of Optimizing Additively Separable Functions
Abstract. We present upper bounds on the time and space complexity of finding the global optimum of additively separable functions, a class of functions that has been studied exten...
Matthew J. Streeter
ICML
1995
IEEE
14 years 7 months ago
Residual Algorithms: Reinforcement Learning with Function Approximation
A number of reinforcement learning algorithms have been developed that are guaranteed to converge to the optimal solution when used with lookup tables. It is shown, however, that ...
Leemon C. Baird III
GECCO
2007
Springer
190views Optimization» more  GECCO 2007»
14 years 27 days ago
Interactive evolutionary multi-objective optimization and decision-making using reference direction method
In this paper, we borrow the concept of reference direction approach from the multi-criterion decision-making literature and combine it with an EMO procedure to develop an algorit...
Kalyanmoy Deb, Abhishek Kumar
IROS
2009
IEEE
172views Robotics» more  IROS 2009»
14 years 1 months ago
Pairwise region-based scan alignment
— In this paper, we present a new algorithm for the alignment of two 3D scans. The approach uses a region-based matching technique. We make no assumptions about the initial posit...
Carla Silva Rocha Aguiar, Sébastien Druon, ...