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» Hybrid Genetic Algorithms: A Review
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103
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ENGL
2006
84views more  ENGL 2006»
15 years 13 days ago
A framework for neural network to make business forecasting with hybrid VAR and GA components
Applying Vector Autoregression (VAR) and genetic algorithm (GA) in hybrid systems with neural network can improve the NN's prediction capability. Two case studies have been ca...
Sio Iong Ao
GECCO
2009
Springer
103views Optimization» more  GECCO 2009»
15 years 7 months ago
Why evolution is not a good paradigm for program induction: a critique of genetic programming
We revisit the roots of Genetic Programming (i.e. Natural Evolution), and conclude that the mechanisms of the process of evolution (i.e. selection, inheritance and variation) are ...
John R. Woodward, Ruibin Bai
91
Voted
PPSN
2000
Springer
15 years 4 months ago
A Hybrid GA for the Edge-Biconnectivity Augmentation Problem
In the design of communication networks, robustness against failures in single links or nodes is an important issue. This paper proposes a new approach for the NP-complete edge-bic...
Ivana Ljubic, Günther R. Raidl, Jozef Kratica
103
Voted
HIS
2008
15 years 1 months ago
Hybrid Approach for Machine Scheduling Optimization in Custom Furniture Industry
Machine scheduling is a critical problem in industries where products are custom-designed. The wide range of products, the lack of previous experiences in manufacturing, and the s...
Juan Carlos Vidal, Manuel Mucientes, Alberto Bugar...
GCC
2004
Springer
15 years 5 months ago
Hybrid Performance-Oriented Scheduling of Moldable Jobs with QoS Demands in Multiclusters and Grids
This paper addresses the dynamic scheduling of moldable jobs with QoS demands (soft-deadlines) in multiclusters. A moldable job can be run on a variable number of resources. Three ...
Ligang He, Stephen A. Jarvis, Daniel P. Spooner, X...