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» On the Convergence of Bound Optimization Algorithms
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GECCO
2007
Springer
185views Optimization» more  GECCO 2007»
15 years 8 months ago
An informed convergence accelerator for evolutionary multiobjective optimiser
A novel optimisation accelerator deploying neural network predictions and objective space direct manipulation strategies is presented. The concept of directing the search through ...
Salem F. Adra, Ian Griffin, Peter J. Fleming
UAI
2008
15 years 3 months ago
Bounds on the Bethe Free Energy for Gaussian Networks
We address the problem of computing approximate marginals in Gaussian probabilistic models by using mean field and fractional Bethe approximations. As an extension of Welling and ...
Botond Cseke, Tom Heskes
EOR
2008
106views more  EOR 2008»
15 years 2 months ago
Convergent Lagrangian heuristics for nonlinear minimum cost network flows
We consider the separable nonlinear and strictly convex single-commodity network flow problem (SSCNFP). We develop a computational scheme for generating a primal feasible solution...
Torbjörn Larsson, Johan Marklund, Caroline Ol...
PPSN
2004
Springer
15 years 7 months ago
A Visual Demonstration of Convergence Properties of Cooperative Coevolution
Abstract. We introduce a model for cooperative coevolutionary algorithms (CCEAs) using partial mixing, which allows us to compute the expected long-run convergence of such algorith...
Liviu Panait, R. Paul Wiegand, Sean Luke
SODA
2008
ACM
93views Algorithms» more  SODA 2008»
15 years 3 months ago
Fast load balancing via bounded best response
It is known that the dynamics of best response in an environment of non-cooperative users may converge to a good solution when users play sequentially, but may cycle far away from...
Baruch Awerbuch, Yossi Azar, Rohit Khandekar