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» UMDAs for dynamic optimization problems
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201
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ICDCS
2012
IEEE
13 years 5 months ago
Towards Optimal Capacity Segmentation with Hybrid Cloud Pricing
—Cloud resources are usually priced in multiple markets with different service guarantees. For example, Amazon EC2 prices virtual instances under three pricing schemes — the su...
Wei Wang, Baochun Li, Ben Liang
203
Voted
CVPR
2012
IEEE
13 years 5 months ago
Online robust image alignment via iterative convex optimization
In this paper we study the problem of online aligning a newly arrived image to previously well-aligned images. Inspired by recent advances in batch image alignment using low rank ...
Yi Wu, Bin Shen, Haibin Ling
150
Voted
GECCO
2006
Springer
220views Optimization» more  GECCO 2006»
15 years 7 months ago
A comparative study of immune system based genetic algorithms in dynamic environments
Diversity and memory are two major mechanisms used in biology to keep the adaptability of organisms in the everchanging environment in nature. These mechanisms can be integrated i...
Shengxiang Yang
164
Voted
GECCO
2009
Springer
164views Optimization» more  GECCO 2009»
15 years 1 months ago
Solving iterated functions using genetic programming
An iterated function f(x) is a function that when composed with itself, produces a given expression f(f(x))=g(x). Iterated functions are essential constructs in fractal theory and...
Michael D. Schmidt, Hod Lipson
ATMOS
2007
177views Optimization» more  ATMOS 2007»
15 years 5 months ago
Approximate dynamic programming for rail operations
Abstract. Approximate dynamic programming offers a new modeling and algorithmic strategy for complex problems such as rail operations. Problems in rail operations are often modeled...
Warren B. Powell, Belgacem Bouzaïene-Ayari