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IUI
2005
ACM
15 years 11 months ago
Active preference learning for personalized calendar scheduling assistance
We present PLIANT, a learning system that supports adaptive assistance in an open calendaring system. PLIANT learns user preferences from the feedback that naturally occurs during...
Melinda T. Gervasio, Michael D. Moffitt, Martha E....
GECCO
2005
Springer
178views Optimization» more  GECCO 2005»
15 years 11 months ago
A co-evolutionary hybrid algorithm for multi-objective optimization of gene regulatory network models
In this paper, the parameters of a genetic network for rice flowering time control have been estimated using a multiobjective genetic algorithm approach. We have modified the rece...
Praveen Koduru, Sanjoy Das, Stephen Welch, Judith ...
GECCO
2005
Springer
288views Optimization» more  GECCO 2005»
15 years 11 months ago
A comparison study between genetic algorithms and bayesian optimize algorithms by novel indices
Genetic Algorithms (GAs) are a search and optimization technique based on the mechanism of evolution. Recently, another sort of population-based optimization method called Estimat...
Naoki Mori, Masayuki Takeda, Keinosuke Matsumoto
SARA
2005
Springer
15 years 11 months ago
Synthesizing Plans for Multiple Domains
Intelligent agents acting in real world environments need to synthesize their course of action based on multiple sources of knowledge. They also need to generate plans that smoothl...
Abdelbaki Bouguerra, Lars Karlsson
ATAL
2005
Springer
15 years 11 months ago
MAGENTA technology: multi-agent systems for industrial logistics
We introduce MAGENTA’s commercial multi-agent systems technology, and illustrate its practical use by describing a field-tested application in the area of logistics/scheduling....
Jonathan Himoff, Petr Skobelev, Michael Wooldridge