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AEI
2005
99views more  AEI 2005»
13 years 4 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
CP
1999
Springer
13 years 9 months ago
The Theory of Discrete Lagrange Multipliers for Nonlinear Discrete Optimization
In this paper we present a Lagrange-multiplier formulation of discrete constrained optimization problems, the associated discrete-space first-order necessary and sufficient condit...
Benjamin W. Wah, Zhe Wu
ICASSP
2011
IEEE
12 years 8 months ago
Distributed beamforming for OFDM-based cooperative relay networks under total and per-relay power constraints
This paper addresses the problem of beamforming (BF) design for orthogonal frequency division multiplexing (OFDM) based relay networks over frequency-selective channels. Both freq...
Wenjing Cheng, Qinfei Huang, Mounir Ghogho, Dongta...
BMCBI
2010
139views more  BMCBI 2010»
13 years 5 months ago
A global optimization algorithm for protein surface alignment
Background: A relevant problem in drug design is the comparison and recognition of protein binding sites. Binding sites recognition is generally based on geometry often combined w...
Paola Bertolazzi, Concettina Guerra, Giampaolo Liu...
APIN
2000
120views more  APIN 2000»
13 years 4 months ago
Two-Loop Real-Coded Genetic Algorithms with Adaptive Control of Mutation Step Sizes
Genetic algorithms are adaptive methods based on natural evolution that may be used for search and optimization problems. They process a population of search space solutions with t...
Francisco Herrera, Manuel Lozano