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101
An improved kernelization algorithm for r-Set Packing
Published 2010“…Such parameterized reductions are known as kernelization algorithms, and a reduced instance is called a problem kernel. …”
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LINE SEARCH TECHNIQUES FOR THE LOGARITHMIC BARRIER FUNCTION IN QUADRATIC-PROGRAMMING
Published 2020“…In this paper, we propose a line-search procedure for the logarithmic barrier function in the context of an interior point algorithm for convex quadratic programming. …”
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104
Belief selection in point-based planning algorithms for POMDPs
Published 2017“…Current point-based planning algorithms for solving partially observable Markov decision processes (POMDPs) have demonstrated that a good approximation of the value function can be derived by interpolation from the values of a specially selected set of points. …”
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conferenceObject -
105
Simultaneous stabilization of multimachine power systems viagenetic algorithms
Published 1999“…The power system operating at various conditions is treated as a finite set of plants. The problem of selecting the parameters of power system stabilizers which simultaneously stabilize this set of plants is converted to a simple optimization problem which is solved by a genetic algorithm with an eigenvalue-based objective function. …”
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106
Distributed dimension reduction algorithms for widely dispersed data
Published 2002“…Stress function measurements indicate that the distributed algorithm is highly competitive with the original FastMap heuristic.…”
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107
Evolutionary algorithms for VLSI multi-objective netlist partitioning
Published 2006“…A series of experiments are performed to evaluate the efficiency of the algorithms. …”
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108
Evolutionary algorithm for predicting all-atom protein structure
Published 2011“…This algorithm produces a 3D structure of the whole protein, including back-bone and side-chain atoms, by minimizing the energy function associated with the structure. …”
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conferenceObject -
109
A hybrid of clustering and meta-heuristic algorithms to solve a p-mobile hub location–allocation problem with the depreciation cost of hub facilities
Published 2021“…To solve the proposed model, four meta-heuristic algorithms, namely multi-objective particle swarm optimization (MOPSO), a non-dominated sorting genetic algorithm (NSGA-II), a hybrid of k-medoids as a famous clustering algorithm and NSGA-II (KNSGA-II), and a hybrid of K-medoids and MOPSO (KMOPSO) are implemented. …”
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Ensemble Deep Random Vector Functional Link Neural Network for Regression
Published 2022“…The esc-edRVFL is identified as the best-performing algorithm through a comprehensive evaluation of 31 UCI datasets.…”
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112
An Evolutionary Algorithm for the Allocation Problem in High-Level Synthesis
Published 2005“…The system handles multicycle functional units as well as structural pipelining. The proposed method was implemented using C++ on a Linux workstation. …”
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113
An Artificial Neural Network for Online Tuning of Genetic Algorithm Based PI Controller for Interior Permanent Magnet Synchronous Motor–Drive
Published 2006“…An artificial neural network (ANN) for online tuning of a genetic algorithm based PI controller for interior permanent magnet synchronous motor (IPMSM) drive is presented in this paper. …”
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114
Properties of simulated annealing and genetic algorithms for mapping data to multicomputers
Published 1997“…The others are used in the GA and SA algorithms. The fault tolerance capability is demonstrated by mapping data to a multicomputer with some faulty processors. …”
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115
Metaheuristic algorithm for testing web 2.0 applications. (c2012)
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masterThesis -
116
Genetic Algorithm Based Simultaneous Eigenvalue Placement Of Power Systems
Published 2020“…The task of selecting the output feedback gains is converted to a simple optimization problem with an eigenvaluebased objective function, which is solved by a genetic algorithm. …”
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117
Simulated evolution algorithm for multiobjective VLSI netlist bi-partitioning
Published 2003“…A series of experiments are performed to evaluate the efficiency of the algorithm. …”
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118
Iterative Methods for the Solution of a Steady State Biofilter Model
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doctoralThesis -
119
An incremental approach for test scheduling and synthesis using genetic algorithms
Published 2017“…The method is based on a genetic algorithm that efficiently explores the testable design space. …”
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conferenceObject -
120
Concurrent BIST Synthesis and Test Scheduling Using Genetic Algorithms
Published 2007“…The method is based on a genetic algorithm that efficiently explores the testable design space and finds a sub-optimal test registers assignment for each k-test session. …”
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