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» Solving Hierarchical Optimization Problems Using MOEAs
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CEC
2005
IEEE
14 years 11 months ago
DynDE: a differential evolution for dynamic optimization problems
Abstract- This paper presents an approach of using Differential Evolution (DE) to solve dynamic optimization problems. Careful setting of parameters is necessary for DE algorithms ...
Rui Mendes, Arvind S. Mohais
GECCO
2008
Springer
141views Optimization» more  GECCO 2008»
14 years 10 months ago
Managing team-based problem solving with symbiotic bid-based genetic programming
Bid-based Genetic Programming (GP) provides an elegant mechanism for facilitating cooperative problem decomposition without an a priori specification of the number of team member...
Peter Lichodzijewski, Malcolm I. Heywood
RTCSA
2005
IEEE
15 years 3 months ago
Optimization of Hierarchically Scheduled Heterogeneous Embedded Systems
We present an approach to the analysis and optimization of heterogeneous distributed embedded systems for hard real-time applications. The systems are heterogeneous not only in te...
Traian Pop, Paul Pop, Petru Eles, Zebo Peng
GECCO
2009
Springer
164views Optimization» more  GECCO 2009»
14 years 7 months ago
Solving iterated functions using genetic programming
An iterated function f(x) is a function that when composed with itself, produces a given expression f(f(x))=g(x). Iterated functions are essential constructs in fractal theory and...
Michael D. Schmidt, Hod Lipson
MCS
2004
Springer
15 years 3 months ago
An Empirical Comparison of Hierarchical vs. Two-Level Approaches to Multiclass Problems
The ECOC framework provides a powerful and popular method for solving multiclass problems using a multitude of binary classifiers. We had recently introduced the Binary Hierarchica...
Suju Rajan, Joydeep Ghosh