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» Solving Hierarchical Optimization Problems Using MOEAs
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90
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ISCAS
2003
IEEE
119views Hardware» more  ISCAS 2003»
15 years 6 months ago
Simulated evolution algorithm for multiobjective VLSI netlist bi-partitioning
In this paper, the Simulated Evolution algorithm (SimE) is engineered to solve the optimization problem of multi-objective VLSI netlist bi-partitioning. The multi-objective versio...
Sadiq M. Sait, Aiman H. El-Maleh, Rush H. Al-Abuji
77
Voted
HPDC
2000
IEEE
15 years 5 months ago
An Enabling Framework for Master-Worker Applications on the Computational Grid
We describe MW – a software framework that allows users to quickly and easily parallelize scientific computations using the master-worker paradigm on the computationalgrid. MW ...
Jean-Pierre Goux, Sanjeev Kulkarni, Jeff Linderoth...
113
Voted
GECCO
1999
Springer
142views Optimization» more  GECCO 1999»
15 years 5 months ago
Towards Byte Code Genetic Programming
This paper uses the GP paradigm to evolve linear genotypes (individuals) that consist of Java byte code. Our prototype GP system is implemented in Java using a standard Java devel...
Brad Harvey, James A. Foster, Deborah A. Frincke
104
Voted
GECCO
2006
Springer
178views Optimization» more  GECCO 2006»
15 years 4 months ago
Adaptively choosing niching parameters in a PSO
Niching techniques play an important role in evolutionary algorithms. Existing niching methods often require userspecified parameters, limiting their usefulness. This paper propos...
Stefan Bird, Xiaodong Li
87
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GECCO
2006
Springer
145views Optimization» more  GECCO 2006»
15 years 4 months ago
Immune anomaly detection enhanced with evolutionary paradigms
The paper presents an approach based on principles of immune systems to the anomaly detection problem. Flexibility and efficiency of the anomaly detection system are achieved by b...
Marek Ostaszewski, Franciszek Seredynski, Pascal B...