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» Optimization by Stochastic Continuation
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GLOBECOM
2008
IEEE
16 years 1 months ago
Longest Edge Routing on the Spatial Aloha Graph
— The multihop spatial reuse Aloha (MSR-Aloha) protocol was recently introduced by Baccelli et al., where each transmitter selects the receiver among its feasible next hops that ...
Steven Weber, Nihar Jindal, Radha Krishna Ganti, M...
GLOBECOM
2008
IEEE
16 years 1 months ago
Foresighted Resource Reciprocation Strategies in P2P Networks
—We consider peer-to-peer (P2P) networks, where multiple peers are interested in sharing content. While sharing resources, autonomous and self-interested peers need to make decis...
Hyunggon Park, Mihaela van der Schaar
IPPS
2006
IEEE
16 years 18 days ago
Evaluating parallel simulated evolution strategies for VLSI cell placement
Simulated Evolution (SimE) is an evolutionary metaheuristic that has produced results comparable to well established stochastic heuristics such as SA, TS and GA, with shorter runti...
Sadiq M. Sait, Mustafa I. Ali, Ali Mustafa Zaidi
GECCO
2003
Springer
153views Optimization» more  GECCO 2003»
15 years 11 months ago
SEPA: Structure Evolution and Parameter Adaptation in Feed-Forward Neural Networks
Abstract. In developing algorithms that dynamically changes the structure and weights of ANN (Artificial Neural Networks), there must be a proper balance between network complexit...
Paulito P. Palmes, Taichi Hayasaka, Shiro Usui
CDC
2009
IEEE
132views Control Systems» more  CDC 2009»
15 years 11 months ago
Q-learning and Pontryagin's Minimum Principle
Abstract— Q-learning is a technique used to compute an optimal policy for a controlled Markov chain based on observations of the system controlled using a non-optimal policy. It ...
Prashant G. Mehta, Sean P. Meyn