بدائل البحث:
coding algorithm » cosine algorithm (توسيع البحث), colony algorithm (توسيع البحث), scheduling algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
coding algorithm » cosine algorithm (توسيع البحث), colony algorithm (توسيع البحث), scheduling algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
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Design of PSS and STATCOM-based damping stabilizers using genetic algorithms
منشور في 2006"…Power system stability enhancement via coordinated design of power system stabilizers (PSSs) and STATCOM-based damping stabilizers is thoroughly investigated in this paper. …"
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Modified Elite Opposition-Based Artificial Hummingbird Algorithm for Designing FOPID Controlled Cruise Control System
منشور في 2023"…This study proposes a novel approach for designing a fractional order proportional-integral-derivative (FOPID) controller that utilizes a modified elite opposition-based artificial hummingbird algorithm (m-AHA) for optimal parameter tuning. …"
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Robust Coordinated Design of Excitation and TCSC-Based Stabilizers Using genetic algorithms
منشور في 2004"…Power system stability enhancement via robust coordinated design of a power system stabilizer (PSS) and a thyristor-controlled series capacitor (TCSC)-based stabilizer is thoroughly investigated in this paper. …"
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Thyristor controlled phase shifter based stabilizer design usingsimulated annealing algorithm
منشور في 1999"…This paper presents a thyristor controlled phase shifter (TCPS) based stabilizer design using the simulated annealing (SA) algorithm. …"
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احصل على النص الكامل
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An evolutionary algorithm for network topology design
منشور في 2001"…We present an approach based on a simulated evolution algorithm for design of a campus network topology. …"
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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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Teaching–learning-based optimization algorithm: analysis study and its application
منشور في 2024"…The teaching–learning-based optimization (TLBO) algorithm is a novel nature-based optimization approach that has attracted a lot of interest from researchers because of its great capacity to handle optimization problems. …"
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Fuzzy simulated evolution algorithm for topology design of campusnetworks
منشور في 2000"…We present an approach based on the simulated evolution algorithm for the design of campus network topology. …"
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احصل على النص الكامل
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A FUZZY EVOLUTIONARY ALGORITHM FOR TOPOLOGY DESIGN OF CAMPUS NETWORKS
منشور في 2020"…In this paper, we present a Simulated Evolution algorithm for the design of campus network topology. …"
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CNN and HEVC Video Coding Features for Static Video Summarization
منشور في 2022احصل على النص الكامل
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A modified ant colony algorithm for evolutionary design of digital circuits
منشور في 2003"…The new paradigm is expected to radically change the synthesis procedures in a way that can help discovering novel designs and/or more efficient circuits. In this paper, a multiobjective optimization of logic circuits based on a modified ant colony (ACO) algorithm is presented. …"
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Multilayer Reversible Data Hiding Based on the Difference Expansion Method Using Multilevel Thresholding of Host Images Based on the Slime Mould Algorithm
منشور في 2022"…One of the well-known designs of RDH is the difference expansion (DE) method. …"
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Optimal multiobjective design of robust power system stabilizers using genetic algorithms
منشور في 2003"…Optimal multiobjective design of robust multimachine power system stabilizers (PSSs) using genetic algorithms is presented in this paper. …"
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احصل على النص الكامل
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Holistic Design: Optimizing Mechatronic Systems Using Multi Objective Optimization
منشور في 2015احصل على النص الكامل
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Bird’s Eye View feature selection for high-dimensional data
منشور في 2023"…This approach is inspired by the natural world, where a bird searches for important features in a sparse dataset, similar to how a bird search for sustenance in a sprawling jungle. BEV incorporates elements of Evolutionary Algorithms with a Genetic Algorithm to maintain a population of top-performing agents, Dynamic Markov Chain to steer the movement of agents in the search space, and Reinforcement Learning to reward and penalize agents based on their progress. …"