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WSC
2008
15 years 6 months ago
An experimental study of an iterative simulation-optimization algorithm for production planning
It is well known from queueing and simulation models that cycle times in capacitated production systems increase nonlinearly with resource utilization, which poses considerable di...
Durmus Fatih Irdem, Necip Baris Kacar, Reha Uzsoy
ATAL
2009
Springer
15 years 11 months ago
Integrating organizational control into multi-agent learning
Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in largescale systems. In this work, we develop an organization-b...
Chongjie Zhang, Sherief Abdallah, Victor R. Lesser
GECCO
2006
Springer
143views Optimization» more  GECCO 2006»
15 years 8 months ago
The correlation-triggered adaptive variance scaling IDEA
It has previously been shown analytically and experimentally that continuous Estimation of Distribution Algorithms (EDAs) based on the normal pdf can easily suffer from premature ...
Jörn Grahl, Peter A. N. Bosman, Franz Rothlau...
EC
2007
167views ECommerce» more  EC 2007»
15 years 4 months ago
Comparison-Based Algorithms Are Robust and Randomized Algorithms Are Anytime
Randomized search heuristics (e.g., evolutionary algorithms, simulated annealing etc.) are very appealing to practitioners, they are easy to implement and usually provide good per...
Sylvain Gelly, Sylvie Ruette, Olivier Teytaud
ICPR
2008
IEEE
16 years 5 months ago
Exploiting qualitative domain knowledge for learning Bayesian network parameters with incomplete data
When a large amount of data are missing, or when multiple hidden nodes exist, learning parameters in Bayesian networks (BNs) becomes extremely difficult. This paper presents a lea...
Qiang Ji, Wenhui Liao