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» Optimization by Stochastic Continuation
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SC
2000
ACM
15 years 11 months ago
Scalable Algorithms for Adaptive Statistical Designs
We present a scalable, high-performance solution to multidimensional recurrences that arise in adaptive statistical designs. Adaptive designs are an important class of learning al...
Robert H. Oehmke, Janis Hardwick, Quentin F. Stout
ISCAS
1999
IEEE
106views Hardware» more  ISCAS 1999»
15 years 10 months ago
Multi-objective design strategy for high-level low power design of DSP systems
High-level power design presents a complex, multiobjective problem that involves the simultaneous optimisation of competing criteria such as speed, area and power. It is difficult...
Mark S. Bright, Tughrul Arslan
FGR
2004
IEEE
131views Biometrics» more  FGR 2004»
15 years 10 months ago
Active Morphable Model: An Efficient Method for Face Analysis
Multidimensional Morphable Model is a powerful model to analyze and synthesize human faces. However, the stochastic gradient descent algorithm adopted to match the Morphable Model...
Xun Xu, Changshui Zhang, Thomas S. Huang
GECCO
2006
Springer
155views Optimization» more  GECCO 2006»
15 years 10 months ago
Comparison of genetic representation schemes for scheduling soft real-time parallel applications
This paper presents a hybrid technique that combines List Scheduling (LS) with Genetic Algorithms (GA) for constructing non-preemptive schedules for soft real-time parallel applic...
Yoginder S. Dandass, Amit C. Bugde
GECCO
2006
Springer
192views Optimization» more  GECCO 2006»
15 years 10 months ago
Optimising cancer chemotherapy using an estimation of distribution algorithm and genetic algorithms
This paper presents a methodology for using heuristic search methods to optimise cancer chemotherapy. Specifically, two evolutionary algorithms - Population Based Incremental Lear...
Andrei Petrovski, Siddhartha Shakya, John A. W. Mc...