2019
DOI: 10.1016/j.softx.2019.100355
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GenConstraint: A programming tool for constraint optimization problems

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Cited by 15 publications
(12 citation statements)
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“…A software was developed to overcome the constrained optimization challenges in Stavrou et al [17]. The software is based on the modified hybrid genetic algorithm which includes a series of enhanced genetic operators to maintain the viability of experimental solutions and ceases using a stochastic stopping rule.…”
Section: Iir Filtermentioning
confidence: 99%
“…A software was developed to overcome the constrained optimization challenges in Stavrou et al [17]. The software is based on the modified hybrid genetic algorithm which includes a series of enhanced genetic operators to maintain the viability of experimental solutions and ceases using a stochastic stopping rule.…”
Section: Iir Filtermentioning
confidence: 99%
“…This was done to maximize the secrecy rate when the transmitting power limit and unit modulus of the IRS phase shifts were constrained. A fast solution was proposed to solve these constrained optimization problems with a modified genetic algorithm [ 21 ]. Yu et al introduced a robust secure transmission scheme, which considered imperfect channel state information (CSI) in the wiretap channel [ 22 ].…”
Section: Introductionmentioning
confidence: 99%
“…Based on the input-output relation, a dynamic system should be determined (i.e., the echo path), considering various parameters and external factors that must be estimated. These dynamic systems are modeled linearly through an adaptive filter with a finite-impulse-response (FIR) structure [5,6]. The main performance bottlenecks, in terms of computational complexity, tracking, and convergence rate, arise when the length of the impulse response reaches hundreds/thousands of coefficients.…”
Section: Introductionmentioning
confidence: 99%