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201
Modeling of magnetization curves for computer-aided design
Published 1993“…Using the proposed algorithm, sine-series functions can be obtained for nearly rectangular magnetization curves with any required accuracy both in the high-flux and in the low-flux regions. …”
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202
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203
On Optimizing Backoff Procedure to Enhance Throughput and Fairness For Wireless LANs
Published 2006“…Evaluation results indicate that better throughput and delay figures are obtained using the proposed algorithm. In addition the algorithm also achieves good fairness compared to DCF.…”
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204
Scatter search metaheuristic for homology based protein structure prediction. (c2015)
Published 2015“…The metaheuristic is guided using two fitness functions, GA341 and DOPE. 3D models are generated using the software MODELLER. …”
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masterThesis -
205
A Modified Oppositional Chaotic Local Search Strategy Based Aquila Optimizer to Design an Effective Controller for Vehicle Cruise Control System
Published 2023“…We show the CmOBL-AO algorithm to perform better than the differential evolution algorithm, gravitational search algorithm, African vultures optimization, and the Aquila Optimizer using well-known unimodal, multimodal benchmark functions. …”
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206
Design Optimization of Inductive Power Transfer Systems Considering Bifurcation and Equivalent AC Resistance for Spiral Coils
Published 2020“…Based on the proposed algorithm, several IPT systems are optimized in MATLAB software using Genetic Algorithm (GA). …”
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207
Robust tuning of power system stabilizers in multimachine powersystems
Published 2000“…A classical lead-lag power system stabilizer is used to demonstrate the technique. The problem of selecting the stabilizer parameters is converted to a simple optimization problem with an eigenvalue-based objective function, which is solved by a tabu search algorithm. …”
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208
A modified optimal design of a vibration absorber for ground motion isolation
Published 2014“…For a given stiffness ratio of the system, the optimal mass and damping ratios are obtained analytically using an optimization method based on invariant points of the objective function. …”
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conferenceObject -
209
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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210
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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211
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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212
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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213
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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214
Fragment-based computational protein structure prediction
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conferenceObject -
215
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 -
216
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 -
217
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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218
"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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219
Multi Agent Reinforcement Learning Approach for Autonomous Fleet Management
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doctoralThesis -
220
Modeling and Guidance of an Underactuated Autonomous Underwater Vehicle
Published 2017Get full text
doctoralThesis