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181
Adaptive step-size sign least mean squares
Published 2004“…A powerful adaptation scheme is used to adapt the step-size of the sign function inside the recursion of the sign algorithm. …”
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182
On Indefinite Quadratic Optimization over the Intersection of Balls and Linear Constraints
Published 2022“…To solve e-TRS, we use the alternating direction method of multipliers approach and a branch and bound algorithm. …”
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183
Multidimensional Gains for Stochastic Approximation
Published 2019“…This paper deals with iterative Jacobian-based recursion technique for the root-finding problem of the vector-valued function, whose evaluations are contaminated by noise. …”
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184
Economic Production Lot-Sizing For An Unreliable Machine Under Imperfect Age-Based Maintenance Policy
Published 2020“…Numerical results are provided to illustrate both the use of the algorithm in the study of the optimal cost function and the latter's sensitivity to different changes in cost factors. …”
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185
Power system output feedback stabilizer design via geneticalgorithms
Published 1997“…Two methods are presented: in the first method, the problem is formulated as an optimization problem with a standard infinite time quadratic objective function. A digital simulation of the power system is then used in conjunction with the genetic algorithm to determine the output feedback gains. …”
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186
Fragment-based computational protein structure prediction
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conferenceObject -
187
Shuffled Linear Regression with Erroneous Observations
Published 2019“…We propose an optimal recursive algorithm that updates the estimate from the underdetermined function that is based on that permutation-invariant constraint. …”
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conferenceObject -
188
On the parameterized parallel complexity and the vertex cover problem
Published 2016“…In particular, we present a parallel algorithm that outperforms the best known parallel algorithm for this problem: using O(m) instead of O(n2) parallel processors, the running time improves from 4logn+O(kk) to O(k⋅log3n) , where m is the number of edges, n is the number of vertices of the input graph, and k is an upper bound of the size of the sought vertex cover. …”
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conferenceObject -
189
Adaptive cooperative control of nonlinear multi-agent systems with uncertain time-varying control directions and dead-zone nonlinearity
Published 2021“…Then, by using the dynamic surface control approach and radial-basis function neural network, an adaptive distributed controller is designed for each follower agent. …”
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190
"A Tabu Search Approach for the Design of Variable Structure Load Frequency Controller Incorporating Model Nonlinearities"
Published 2007“…The objective function used in the optimization process guarantees enhancement of the controller performance and reduces VSC chattering. …”
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191
Multi Agent Reinforcement Learning Approach for Autonomous Fleet Management
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doctoralThesis -
192
CFD Based Airfoil Shape Optimization for Aerodynamic Drag Reduction
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doctoralThesis -
193
Autonomous Robot Navigation Based On Recurrent Neural Networks
Published 2012Get full text
doctoralThesis -
194
Timing influenced general-cell genetic floorplanner
Published 2020“…The floorplanner works in two phases. In the first phase we use the genetic algorithm and restrict the modules to be rigid and the floorplan to have slicing structure. …”
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195
Rate Adaptation in Dynamic Adaptive Video Streaming Over HTTP
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doctoralThesis -
196
Fragment based protein structure prediction. (c2013)
Published 2016“…In addition, it demonstrates the advantage of using the CHARMM36 energy model. The method is based on a two-phase Scatter Search metaheuristic that minimizes the energy function. …”
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masterThesis -
197
Optimal shunt compensators at nonsinusoidal busbars
Published 1995“…This model was solved employing the penalty function approach and the golden Section Search algorithm for solving the linear load case. …”
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198
Fast force-directed/simulated evolution hybrid for multiobjective VLSI cell placement
Published 2004“…In this work, a fast hybrid algorithm is designed to address this problem. The algorithm employs simulated evolution (SE), an iterative search heuristic that comprises three steps: evaluation, selection and allocation. …”
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199
Weak-coupling, strong-coupling and large-order parametrization of the hypergeometric-Meijer approximants
Published 2020“…To test the validity of that constraint, we employed it to obtain the exact partition function of the zero-dimensional Ø<sup>4</sup> scalar field theory. …”
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200
OPTIMAL SHUNT COMPENSATORS AT NON-SINUSOIDAL BUSBARS
Published 2020“…This model was solved employing the penalty function approach and the golden Section Search algorithm for solving the linear load case. …”
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