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GECCO
2004
Springer
131views Optimization» more  GECCO 2004»
15 years 7 months ago
PolyEDA: Combining Estimation of Distribution Algorithms and Linear Inequality Constraints
Estimation of distribution algorithms (EDAs) are population-based heuristic search methods that use probabilistic models of good solutions to guide their search. When applied to co...
Jörn Grahl, Franz Rothlauf
134
Voted
ALGOSENSORS
2004
Springer
15 years 7 months ago
Constrained Flow Optimization with Applications to Data Gathering in Sensor Networks
We focus on data gathering problems in energy-constrained wireless sensor networks. We study store-and-gather problems where data are locally stored on the sensors before the data ...
Bo Hong, Viktor K. Prasanna
IPPS
2007
IEEE
15 years 8 months ago
A hybrid Evolutionary Algorithm for the Dynamic Resource Constrained Task Scheduling Problem
This work presents a new hybrid Evolutionary Algorithm for the Dynamic Resource Constrained Task Scheduling Problem (DRCTSP). The most important differences between the new EA and...
André Renato Villela da Silva, Luiz Satoru ...
132
Voted
CONPAR
1994
15 years 6 months ago
A Framework for Resource-Constrained Rate-Optimal Software Pipelining
The rapid advances in high-performancecomputer architectureand compilationtechniques provide both challenges and opportunitiesto exploitthe rich solution space of software pipeline...
Ramaswamy Govindarajan, Erik R. Altman, Guang R. G...
124
Voted
CEC
2010
IEEE
15 years 2 months ago
A novel memetic algorithm for constrained optimization
In this paper, we present a memetic algorithm with novel local optimizer hybridization strategy for constrained optimization. The developed MA consists of multiple cycles. In each ...
Jianyong Sun, Jonathan M. Garibaldi