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121
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CEC
2005
IEEE
15 years 8 months ago
Hybrid evolutionary static scheduling for heterogeneous systems
Abstract- The complexity of the static scheduling problem on heterogeneous resources has motivated the development of low complexity heuristics such as list scheduling. However, th...
Cristina Boeres, Eyder Rios, Luiz Satoru Ochi
138
Voted
GECCO
2005
Springer
153views Optimization» more  GECCO 2005»
15 years 8 months ago
Evolving neural network ensembles for control problems
In neuroevolution, a genetic algorithm is used to evolve a neural network to perform a particular task. The standard approach is to evolve a population over a number of generation...
David Pardoe, Michael S. Ryoo, Risto Miikkulainen
122
Voted
GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
15 years 9 months ago
Effects of the use of non-geometric binary crossover on evolutionary multiobjective optimization
In the design of evolutionary multiobjective optimization (EMO) algorithms, it is important to strike a balance between diversity and convergence. Traditional mask-based crossover...
Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto...
120
Voted
ICIP
2008
IEEE
16 years 4 months ago
Inverse image problem of designing phase shifting masks in optical lithography
The continual shrinkage of minimum feature size in integrated circuit (IC) fabrication incurs more and more serious distortion in the optical lithography process, generating circu...
Stanley H. Chan, Edmund Y. Lam
133
Voted
AIPS
2009
15 years 3 months ago
Incremental Policy Generation for Finite-Horizon DEC-POMDPs
Solving multiagent planning problems modeled as DECPOMDPs is an important challenge. These models are often solved by using dynamic programming, but the high resource usage of cur...
Christopher Amato, Jilles Steeve Dibangoye, Shlomo...