بدائل البحث:
algorithm goa » algorithm fa (توسيع البحث), algorithms a (توسيع البحث)
goa function » cost function (توسيع البحث)
algorithm l » algorithm a (توسيع البحث), algorithms _ (توسيع البحث), algorithm fa (توسيع البحث)
l function » _ functional (توسيع البحث)
algorithm goa » algorithm fa (توسيع البحث), algorithms a (توسيع البحث)
goa function » cost function (توسيع البحث)
algorithm l » algorithm a (توسيع البحث), algorithms _ (توسيع البحث), algorithm fa (توسيع البحث)
l function » _ functional (توسيع البحث)
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1
Orthogonal Learning Rosenbrock’s Direct Rotation with the Gazelle Optimization Algorithm for Global Optimization
منشور في 2022"…The gazelle optimization algorithm (GOA) is a global stochastic optimizer that is straightforward to comprehend and has powerful search capabilities. …"
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2
Simultaneous stabilization of multimachine power systems viagenetic algorithms
منشور في 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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3
Genetic Algorithm Based Simultaneous Eigenvalue Placement Of Power Systems
منشور في 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. An objective function is presented allowing the selection of the output feedback gains to place the closed-loop eigenvalues in the left-hand side of a vertical line in the complex s-plane while shifting a specific mode of oscillation to a vertical strip and with bounds on the damping ratio. …"
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4
Application of Red Deer Algorithm in Optimizing Complex functions
منشور في 2021الموضوعات: "…RD algorithm…"
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5
Optimal multiobjective design of robust power system stabilizers using genetic algorithms
منشور في 2003"…The problem of robustly selecting the parameters of the power system stabilizers is converted to an optimization problem which is solved by a genetic algorithm with the eigenvalue-based multiobjective function. …"
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6
Robust Coordinated Design of Excitation and TCSC-Based Stabilizers Using genetic algorithms
منشور في 2004"…The coordinated design problem of robust excitation and TCSC-based controllers over a wide range of loading conditions and system configurations is formulated as an optimization problem with an eigenvalue-based objective function. The real-coded genetic algorithm (RCGA) is employed to search for optimal controller parameters. …"
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7
New enumeration algorithm for regular boolean functions
منشور في 2018"…This paper introduces a new algorithm for enumerating regular Boolean functions. …"
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conferenceObject -
8
A fuzzy basis function network for generator excitation control
منشور في 1997"…A fuzzy basis function network (FBFN) based power system stabilizer (PSS) is presented in this paper. …"
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احصل على النص الكامل
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9
A new genetic algorithm approach for unit commitment
منشور في 1997"…This paper presents a new genetic algorithm approach to solve the unit commitment problem in electric power systems. …"
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10
Learning continuous functions using decision tree learning algorithms
منشور في 2001احصل على النص الكامل
masterThesis -
11
A New Penalty Function Algorithm For Convex Quadratic Programming
منشور في 2020"…In this paper, we develop an exterior point algorithm for convex quadratic programming using a penalty function approach. …"
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12
Synthesis of MVL Functions - Part I: The Genetic Algorithm Approach
منشور في 2006"…None of these algorithms provides absolute optimum results for synthesis of these functions. …"
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13
A Quasi-Oppositional Method for Output Tracking Control by Swarm-Based MPID Controller on AC/HVDC Interconnected Systems With Virtual Inertia Emulation
منشور في 2021"…The role of the proposed quasi oppositional based SMPID controller is to modify the tracking strategy on AC/HVDC interconnected systems while reducing the related cost function. The proposed analysis is established considering the most highly cited, well-known tested and newly expanded swarm-based optimization algorithms (SBOAs), such as Grasshopper Optimization Algorithm (GOA), Grey Wolf Optimization (GWO), Artificial Fish Swarm Algorithm (AFSA), Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO). …"
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14
Spherical cavity-expansion forcing function in PRONTO 3D for application to penetration problems
منشور في 2017"…In this spirit, a forcing function which is derived from a spherical-cavity expansion analysis has been implemented in PRONTO 3D. …"
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conferenceObject -
15
Integrating genetic algorithms, tabu search, and simulatedannealing for the unit commitment problem
منشور في 1999"…This paper presents a new algorithm based on integrating genetic algorithms, tabu search and simulated annealing methods to solve the unit commitment problem. …"
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16
Improved prairie dog optimization algorithm by dwarf mongoose optimization algorithm for optimization problems
منشور في 2023الموضوعات: "…Prairie dog optimization algorithm…"
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17
Development of Lévy flight-based reptile search algorithm with local search ability for power systems engineering design problems
منشور في 2022"…In conclusion, the proposed L-RSANM algorithm is shown to be more capable to solve the challenging power systems engineering design problems.…"
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18
A New Genetic-Based Tabu Search Algorithm For Unit Commitment Problem
منشور في 2020"…This paper presents a new algorithm based on integrating the use of genetic algorithms and tabu search methods to solve the unit commitment problem. …"
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19
Integrating Genetic Algorithms, Tabu Search, And Simulated Annealing For The Unit Commitment Problem
منشور في 2020"…This paper presents a new algorithm based on integrating genetic algorithms, tabu search and simulated annealing methods to solve the unit commitment problem. …"
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20
Optimization of Interval Type-2 Fuzzy Logic System Using Grasshopper Optimization Algorithm
منشور في 2022"…The antecedent part parameters (Gaussian membership function parameters) are encoded as a population of artificial swarm of grasshoppers and optimized using its algorithm. …"