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» On the Approximation of Computing Evolutionary Trees
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GECCO
2008
Springer
186views Optimization» more  GECCO 2008»
14 years 10 months ago
A pareto following variation operator for fast-converging multiobjective evolutionary algorithms
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder, Michael Kirley, Ra...
ADHOCNOW
2005
Springer
15 years 3 months ago
Heuristic Algorithms for Minimum Bandwith Consumption Multicast Routing in Wireless Mesh Networks
We study the problem of computing multicast trees with minimal bandwidth consumption in multi-hop wireless mesh networks. For wired networks, this problem is known as the Steiner t...
Pedro M. Ruiz, Antonio F. Gómez-Skarmeta
IPSN
2009
Springer
15 years 4 months ago
Approximating sensor network queries using in-network summaries
In this work we present new in-network techniques for communication efficient approximate query processing in wireless sensornets. We use a model-based approach that constructs a...
Alexandra Meliou, Carlos Guestrin, Joseph M. Helle...
STOC
2003
ACM
133views Algorithms» more  STOC 2003»
15 years 10 months ago
A fast algorithm for computing steiner edge connectivity
Given an undirected graph or an Eulerian directed graph G and a subset S of its vertices, we show how to determine the edge connectivity C of the vertices in S in time O(C3 n log ...
Richard Cole, Ramesh Hariharan
ECML
2006
Springer
15 years 1 months ago
Approximate Policy Iteration for Closed-Loop Learning of Visual Tasks
Abstract. Approximate Policy Iteration (API) is a reinforcement learning paradigm that is able to solve high-dimensional, continuous control problems. We propose to exploit API for...
Sébastien Jodogne, Cyril Briquet, Justus H....