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» Solving Talent Scheduling with Dynamic Programming
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DCOSS
2006
Springer
13 years 11 months ago
Approximation Algorithms for Power-Aware Scheduling of Wireless Sensor Networks with Rate and Duty-Cycle Constraints
We develop algorithms for finding the minimum energy transmission schedule for duty-cycle and rate constrained wireless sensor nodes transmitting over an interference channel. Sinc...
Rajgopal Kannan, Shuangqing Wei
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
14 years 1 months ago
Towards clustering with XCS
This paper presents a novel approach to clustering using an accuracy-based Learning Classifier System. Our approach achieves this by exploiting the generalization mechanisms inher...
Kreangsak Tamee, Larry Bull, Ouen Pinngern
GECCO
2007
Springer
210views Optimization» more  GECCO 2007»
14 years 1 months ago
Mining breast cancer data with XCS
In this paper, we describe the use of a modern learning classifier system to a data mining task. In particular, in collaboration with a medical specialist, we apply XCS to a prima...
Faten Kharbat, Larry Bull, Mohammed Odeh
DAGSTUHL
2004
13 years 8 months ago
Simplicity Considered Fundamental to Design for Predictability
Complexity is the core problem of contemporary information technology, as the "artificial complicatedness" of its artefacts is exploding. Intellectually easy and economic...
Wolfgang A. Halang
GECCO
2007
Springer
180views Optimization» more  GECCO 2007»
14 years 1 months ago
Towards the coevolution of cellular automata controllers for chemical computing with the B-Z reaction
We propose that the behaviour of non-linear media can be controlled automatically through coevolutionary systems. By extension, forms of unconventional computing, i.e., massively ...
Christopher Stone, Rita Toth, Andrew Adamatzky, Be...