Population-based incremental learning with associative memory for dynamic environments [PDF]
, 2008 Copyright © 2007 IEEE. Reprinted from IEEE Transactions on Evolutionary Computation. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Brunel University's ...
Yang, S, Yao, X
core +7 more sources
Assessing Material Fragility using Nanoscale Incremental Dynamic Analysis [PDF]
, 2021 A new methodology to assess material failure subjected to stochastic loads is proposed, titled Nanoscale Incremental Dynamic Analysis (NIDA), which is adopted from performance-based assessment in structural engineering.
Steven, Cranford
core +1 more source
Rocking incremental dynamic analysis.
, 2022 The seismic response assessment of rocking systems via Incremental Dynamic Analysis (IDA) is investigated, focusing on the issues that arise in the analysis and postprocessing stages.
Vamvatsikos Dimitrios +1 more
core +1 more source
Hyper-learning for population-based incremental learning in dynamic environments [PDF]
, 2009 This article is posted here here with permission from IEEE - Copyright @ 2009 IEEEThe population-based incremental learning (PBIL) algorithm is a combination of evolutionary optimization and competitive learning.
Yang, S +5 more
core +1 more source
Dual population-based incremental learning for problem optimization in dynamic environments [PDF]
, 2003 Copyright @ 2003 Asia Pacific Symposium on Intelligent and Evolutionary SystemsIn recent years there is a growing interest in the research of evolutionary algorithms for dynamic optimization problems since real world problems are usually dynamic, which ...
Yang, S, Yao, X
core +6 more sources
Experimental study on population-based incremental learning algorithms for dynamic optimization problems [PDF]
, 2005 Copyright @ Springer-Verlag 2005.Evolutionary algorithms have been widely used for stationary optimization problems. However, the environments of real world problems are often dynamic. This seriously challenges traditional evolutionary algorithms.
Yang, S +3 more
core +1 more source
Sequential action and beliefs under partially observable DSGE environments [PDF]
, 2012 Revised and resubmitted at Computational EconomicsThis paper introduces a classification of DSGEs from a Markovian perspective, and positions the class of POMDP (Partially Observable Markov Decision Process) to the center of a generalization of linear ...
Kim, Seong-Hoon
core +1 more source
Towards the microfoundations of finance and growth [PDF]
, 2007 We take a critical view of the standard approach to finance and growth. The mapping between the theory and empirics is shown to be poorly understood, and this is traced to deficiencies in our understanding of the microeconomics at play.
Trew, Alex
core +2 more sources
Simplified numerical approach for incremental sheet metal forming process [PDF]
, 2014 The current work presents a finite element approach for numerical simulation of the incremental sheet metal forming (ISF) process, called here ‘‘ISF-SAM’’ (for ISF-Simplified Analysis Modelling).
BATOZ, Jean-Louis +4 more
core +1 more source
Pushover versus Incremental Dynamic Analysis
, 2007 In the present study, an accurate comparison between results by pushover methodology for RC frame structures and Incremental Dynamic Analysis (IDA) has been performed.
FERRACUTI, BARBARA +3 more
core +1 more source