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AEI
2005
99views more  AEI 2005»
13 years 7 months ago
Comparison among five evolutionary-based optimization algorithms
Evolutionary algorithms (EAs) are stochastic search methods that mimic the natural biological evolution and/or the social behavior of species. Such algorithms have been developed ...
Emad Elbeltagi, Tarek Hegazy, Donald E. Grierson
GECCO
2000
Springer
114views Optimization» more  GECCO 2000»
13 years 11 months ago
Variable Length Genomes for Evolutionary Algorithms
A general variable length genome, called exG, is developed here to address the problems of fixed length representations in canonical evolutionary algorithms. Convergence aspects o...
C.-Y. Lee, E. K. Antonsson
CEC
2005
IEEE
14 years 1 months ago
A population-based, steady-state procedure for real-parameter optimization
Despite the existence of a number of procedures for real-parameter optimization using evolutionary algorithms, there is still a need of a systematic and unbiased comparison of diļ...
Ankur Sinha, Santosh Tiwari, Kalyanmoy Deb
HIS
2001
13 years 9 months ago
Global Optimisation of Neural Networks Using a Deterministic Hybrid Approach
Selection of the topology of a neural network and correct parameters for the learning algorithm is a tedious task for designing an optimal artificial neural...
Gleb Beliakov, Ajith Abraham
LCN
2005
IEEE
14 years 1 months ago
GaMa : An Evolutionary Algorithmic Approach for the Design of Mesh-Based Radio Access Networks
Wireless mesh based access networks are destined to play a pivotal role in next generation broadband systems. With the proliferation of mesh networks, a key issue for network desi...
Samik Ghosh, Preetam Ghosh, Kalyan Basu, Sajal K. ...