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381
Simultaneous stabilization of multimachine power systems viagenetic algorithms
Published 1999“…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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382
Fuzzy simulated evolution algorithm for topology design of campusnetworks
Published 2000“…The topology design of campus networks is a hard constrained combinatorial optimization problem. It consists of deciding the number, type, and location of the active network elements (nodes) and links. …”
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383
Fuzzy simulated evolution algorithm for VLSI cell placement
Published 2003“…There has not been a consensus on how to accommodate all these (conflicting) requirements in the search for near optimal feasible solutions. In this paper, we present a fuzzy simulated evolution (FSE) algorithm to tackle this problem. …”
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384
Timing driven genetic algorithm for standard-cell placement
Published 1995“…As the algorithm starts converging toward generations with acceptable delay properties, the objective is dynamically adjusted toward optimizing area and routability. …”
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385
An Algorithm For Computing The Distance Between Two Circular Disks
Published 2020“…This paper presents an algorithm for computing the distance between two circular disks in three-dimensional space. …”
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386
Distributed dimension reduction algorithms for widely dispersed data
Published 2002“…Classical techniques offer optimality but are much too slow for extremely large databases. …”
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387
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388
Environmental/economic power dispatch using multiobjective evolutionary algorithms
Published 2003“…A hierarchical clustering algorithm is also imposed to provide the decision maker with a representative and manageable Pareto-optimal set. …”
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389
Invariant Solutions of the Wave Equation on Static Spherically Symmetric Spacetimes Admitting G7 Isometry Algebra
Published 2018“…<div><p>Algorithms to construct the optimal systems of dimension of at most three of Lie algebras are given. …”
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390
A FUZZY EVOLUTIONARY ALGORITHM FOR TOPOLOGY DESIGN OF CAMPUS NETWORKS
Published 2020“…ABSTRACT The topology design of campus networks is a hard constrained combinatorial optimization problem. It consists of deciding the number, type, and location of the active network elements (nodes), and the links. …”
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391
Simulated evolution algorithm for multiobjective VLSI netlist bi-partitioning
Published 2003“…In this paper the Simulated Evolution algorithm (SimE) is engineered to solve the optimization problem of multi-objective VLSI netlist bi-partitioning. …”
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392
A simulated annealing algorithm for the capacitated vehicle routing problem
Published 2017“…The Capacitated Vehicle Routing Problem (CVRP) is a combinatorial optimization problem where a fleet of delivery vehicles must service known customer demands from a common depot at a minimum transit cost without exceeding the capacity constraint of each vehicle. …”
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conferenceObject -
393
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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394
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395
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396
A method for test scheduling using an evolutionary approach. (c2000)
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masterThesis -
397
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398
Day-Ahead Load Demand Forecasting in Urban Community Cluster Microgrids Using Machine Learning Methods
Published 2022“…The effectiveness of these optimization algorithms is verified in terms of training, test, validation, and error analysis. …”
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399
An evolutionary algorithm for solving the geometrically constrained site layout problem
Published 2017“…The proposed algorithm is two-phases: an initialization phase that generates an initial population of layouts through a sequence of mutation operations, and a reproduction phase that evolve the layouts generated in phase one through a sequence of genetic operations aiming at finding an optimal layout. …”
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400
Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm
Published 2024“…This work aims to enhance the performance of the K-means algorithm by introducing a novel method for selecting the initial centroids, thereby minimizing randomness and reducing the number of iterations needed to reach optimal results. …”
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masterThesis