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PPSN
2004
Springer
14 years 2 days ago
Exploring the Evolutionary Details of a Feasible-Infeasible Two-Population GA
Abstract. A two-population Genetic Algorithm for constrained optimization is exercised and analyzed. One population consists of feasible candidate solutions evolving toward optimal...
Steven Orla Kimbrough, Ming Lu, David Harlan Wood
IPPS
1998
IEEE
13 years 11 months ago
An Evolutionary Approach to Multiprocessor Scheduling of Dependent Tasks
The scheduling of application tasks is a problem that occurs in all multiprocessor systems. This problem becomes even more complicated if the tasks are not independent but are inte...
Roman Nossal
PPSN
2010
Springer
13 years 4 months ago
Benchmarking Evolutionary Algorithms: Towards Exploratory Landscape Analysis
We present methods to answer two basic questions that arise when benchmarking optimization algorithms. The first one is: which algorithm is the `best' one? and the second one:...
Olaf Mersmann, Mike Preuss, Heike Trautmann
IPPS
2003
IEEE
14 years 3 hour ago
Parallel LAN/WAN Heuristics for Optimization
We present in this work a wide spectrum of results on analyzing the behavior of parallel heuristics for solving optimization problems. We focus on evolutionary algorithms as well ...
Enrique Alba, Gabriel Luque
ICNC
2005
Springer
14 years 7 days ago
A Multi-cluster Grid Enabled Evolution Framework for Aerodynamic Airfoil Design Optimization
Advances in grid computing have recently sparkled the research and development of Grid problem solving environments for complex design. Parallelism in the form of distributed compu...
Hee-Khiang Ng, Dudy Lim, Yew-Soon Ong, Bu-Sung Lee...