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TMC
2008
127views more  TMC 2008»
15 years 3 months ago
Time and Energy Complexity of Distributed Computation of a Class of Functions in Wireless Sensor Networks
We consider a scenario in which a wireless sensor network is formed by randomly deploying n sensors to measure some spatial function over a field, with the objective of computing a...
Nilesh Khude, Anurag Kumar, Aditya Karnik
EVOW
2009
Springer
15 years 10 months ago
Discrete Particle Swarm Optimization for Multiple Destination Routing Problems
This paper proposes a discrete particle swarm optimization (DPSO) to solve the multiple destination routing (MDR) problems. The problem has been proven to be NP-complete and the tr...
Zhi-hui Zhan, Jun Zhang
AIPS
1994
15 years 4 months ago
A Framework for Automatic Problem Decomposition in Planning
An intelligent problem solver must be able to decompose a complex problem into simpler parts. A decomposition algorithm would not only be bene cial for traditional subgoal-oriente...
Qiang Yang, Shuo Bai, Guiyou Qiu
CN
2004
85views more  CN 2004»
15 years 2 months ago
The multicast address allocation problem: theory and practice
Abstract-- In this paper, we perform the first comprehensive study of the multicast address allocation problem. We analyze this problem both within its context as a classic resourc...
Daniel Zappala, Virginia Mary Lo, Chris GauthierDi...
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
15 years 9 months ago
Solving the MAXSAT problem using a multivariate EDA based on Markov networks
Markov Networks (also known as Markov Random Fields) have been proposed as a new approach to probabilistic modelling in Estimation of Distribution Algorithms (EDAs). An EDA employ...
Alexander E. I. Brownlee, John A. W. McCall, Deryc...