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GECCO
2006
Springer
130views Optimization» more  GECCO 2006»
14 years 15 days ago
An efficient multi-objective evolutionary algorithm with steady-state replacement model
The generic Multi-objective Evolutionary Algorithm (MOEA) aims to produce Pareto-front approximations with good convergence and diversity property. To achieve convergence, most mu...
Dipti Srinivasan, Lily Rachmawati
INFOCOM
1997
IEEE
14 years 1 months ago
Atomic Resource Sharing in Noncooperative Networks
In noncooperative networks, resources are shared among selfish users, which optimize their individual performance measure. We consider the generic and practically important case o...
Lavy Libman, Ariel Orda
SIAMJO
2000
108views more  SIAMJO 2000»
13 years 8 months ago
Smooth SQP Methods for Mathematical Programs with Nonlinear Complementarity Constraints
Mathematical programs with nonlinear complementarity constraints are reformulated using better-posed but nonsmooth constraints. We introduce a class of functions, parameterized by...
Houyuan Jiang, Daniel Ralph
IJISTA
2007
136views more  IJISTA 2007»
13 years 8 months ago
Optimisation-on-a-manifold for global registration of multiple 3D point sets
: We propose a novel algorithm to register multiple 3D point sets within a common reference frame simultaneously. Our approach performs an explicit optimisation on the manifold of ...
Shankar Krishnan, Pei Yean Lee, John B. Moore, Sur...
IJCAI
2001
13 years 10 months ago
Exploiting Multiple Secondary Reinforcers in Policy Gradient Reinforcement Learning
Most formulations of Reinforcement Learning depend on a single reinforcement reward value to guide the search for the optimal policy solution. If observation of this reward is rar...
Gregory Z. Grudic, Lyle H. Ungar