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AAAI
2007
15 years 5 months ago
Optimal Multi-Agent Scheduling with Constraint Programming
We consider the problem of computing optimal schedules in multi-agent systems. In these problems, actions of one agent can influence the actions of other agents, while the object...
Willem Jan van Hoeve, Carla P. Gomes, Bart Selman,...
CCO
2001
Springer
157views Combinatorics» more  CCO 2001»
15 years 7 months ago
Lagrangian Relaxation
Lagrangian relaxation is commonly used in combinatorial optimization to generate lower bounds for a minimization problem. We propose a modified Lagrangian relaxation which used i...
Claude Lemaréchal
159
Voted
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
15 years 6 months ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa
SIGECOM
2011
ACM
229views ECommerce» more  SIGECOM 2011»
14 years 6 months ago
A revealed preference approach to computational complexity in economics
Recent results in complexity theory suggest that various economic theories require agents to solve computationally intractable problems. However, such results assume the agents ar...
Federico Echenique, Daniel Golovin, Adam Wierman
SIAMCO
2002
121views more  SIAMCO 2002»
15 years 2 months ago
Consistent Approximations and Approximate Functions and Gradients in Optimal Control
As shown in [7], optimal control problems with either ODE or PDE dynamics can be solved efficiently using a setting of consistent approximations obtained by numerical discretizati...
Olivier Pironneau, Elijah Polak