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GECCO
2006
Springer
161views Optimization» more  GECCO 2006»
15 years 9 months ago
The LEM3 implementation of learnable evolution model and its testing on complex function optimization problems
1 Learnable Evolution Model (LEM) is a form of non-Darwinian evolutionary computation that employs machine learning to guide evolutionary processes. Its main novelty are new type o...
Janusz Wojtusiak, Ryszard S. Michalski
DAC
1995
ACM
15 years 9 months ago
Orthogonal Greedy Coupling - A New Optimization Approach to 2-D FPGA Routing
We propose a novel optimization scheme that can improve the routing by reducing a newly observed router decaying effect. A pair of greedy-grow algorithms, each emphasizing a diffe...
Yu-Liang Wu, Malgorzata Marek-Sadowska
CASES
2008
ACM
15 years 8 months ago
Control flow optimization in loops using interval analysis
We present a novel loop transformation technique, particularly well suited for optimizing embedded compilers, where an increase in compilation time is acceptable in exchange for s...
Mohammad Ali Ghodrat, Tony Givargis, Alex Nicolau
IJCAI
2007
15 years 7 months ago
On Modeling Multiagent Task Scheduling as a Distributed Constraint Optimization Problem
This paper investigates how to represent and solve multiagent task scheduling as a Distributed Constraint Optimization Problem (DCOP). Recently multiagent researchers have adopted...
Evan Sultanik, Pragnesh Jay Modi, William C. Regli
WSC
1998
15 years 7 months ago
Use of Simulation in Optimization of Maintenance Policies
Selecting an optimum maintenance policy independent of other parameters of the production system does not always yield the overall optimum operating conditions. For instance, high...
Farhad Azadivar, J. Victor Shu