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AEI
2005
99views more  AEI 2005»
14 years 9 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»
15 years 1 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
15 years 3 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
14 years 11 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
15 years 3 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. ...