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ICTAI
2000
IEEE
14 years 25 days ago
Building efficient partial plans using Markov decision processes
Markov Decision Processes (MDP) have been widely used as a framework for planning under uncertainty. They allow to compute optimal sequences of actions in order to achieve a given...
Pierre Laroche
GECCO
2009
Springer
153views Optimization» more  GECCO 2009»
14 years 1 months ago
An evaporation mechanism for dynamic and noisy multimodal optimization
Dealing with imprecise information is a common characteristic in real-world problems. Specifically, when the source of the information are physical sensors, a level of noise in t...
Jose Luis Fernandez-Marquez, Josep Lluís Ar...
GECCO
2007
Springer
154views Optimization» more  GECCO 2007»
14 years 3 months ago
Cross entropy and adaptive variance scaling in continuous EDA
This paper deals with the adaptive variance scaling issue in continuous Estimation of Distribution Algorithms. A phenomenon is discovered that current adaptive variance scaling me...
Yunpeng Cai, Xiaomin Sun, Hua Xu, Peifa Jia
ENDM
2006
77views more  ENDM 2006»
13 years 9 months ago
A Two-stage Model for a Day-ahead Paratransit Planning Problem
We consider a dynamic planning problem for paratransit transportation. The focus is on a decision to take one day ahead: which requests to serve with own vehicles, and which reque...
Maria L. A. G. Cremers, Willem K. Klein Haneveld, ...
EVOW
2009
Springer
14 years 4 months ago
Dynamic Time-Linkage Problems Revisited
Dynamic time-linkage problems (DTPs) are common types of dynamic optimization problems where "decisions that are made now ... may in‡uence the maximum score that can be obta...
Trung Thanh Nguyen, Xin Yao