Memetic Differential Evolution with an Improved Contraction Criterion [PDF]
Computational Intelligence and Neuroscience, 2017 Memetic algorithms with an appropriate trade-off between the exploration and exploitation can obtain very good results in continuous optimization. In this paper, we present an improved memetic differential evolution algorithm for solving global optimization problems. The proposed approach, called memetic DE (MDE), hybridizes differential evolution (DE)
Lei Peng 0001 +3 more
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Solving Optimal Power Flow Problem via Improved Constrained Adaptive Differential Evolution
Mathematics, 2023 The optimal power flow problem is one of the most widely used problems in power system optimizations, which are multi-modal, non-linear, and constrained optimization problems.
Wenchao Yi +5 more
doaj +2 more sources
An Improved Differential Evolution Algorithm Based on Adaptive Parameter [PDF]
Journal of Control Science and Engineering, 2013 The differential evolution (DE) algorithm is a heuristic global optimization technique based on population which is easy to understand, simple to implement, reliable, and fast.
Zhehuang Huang, Yidong Chen
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Application of the Improved Differential Evolution Algorithm in Portfolio [PDF]
ITM Web of Conferences, 2017 Aiming at the NP hard problem of portfolio optimization, an improved differential evolution algorithm is proposed. In this algorithm, the mutation operator and crossover operator are set up adaptively, and then according to the characteristics of the ...
Ning Gui-Ying +2 more
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Improved Binary Differential Evolution for Transmission Expansion Planning [PDF]
E3S Web of ConferencesIncreasing load and penetrating solar PhotoVoltaic (PV) systems tend higher in the future. Transmission Expansion Planning (TEP) is commonly used to solve this issue and is typically formed by using the peak load scenario, which is often assumed to ...
Somchit Siripat +2 more
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An improved differential evolution algorithm for nonlinear inversion of earthquake dislocation
Geodesy and Geodynamics, 2014 Geophysical inversion for earthquake dislocation source model from the observed crustal deformation field is a nonlinear multimodal problem. Although a lot of nonlinear algorithms have been developed, scientists are pursuing a rapid and accurate method ...
Zhou Yu, Nie Zhaosheng, Jia zhige
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Improved binary differential evolution with dimensionality reduction mechanism and binary stochastic search for feature selection [PDF]
, 2023 Computer systems store massive amounts of data with numerous features, leading to the need to extract the most important features for better classification in a wide variety of applications.
Abdar, Moloud +9 more
core +1 more source
An Innovative Cloud-Fog-Based Smart Grid Scheme for Efficient Resource Utilization
Sensors, 2023 Smart grids (SGs) enhance the effectiveness, reliability, resilience, and energy-efficient operation of electrical networks. Nonetheless, SGs suffer from big data transactions which limit their capabilities and can cause delays in the optimal operation ...
Fahad Alsokhiry +3 more
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Shanghai Jiaotong Daxue xuebao, 2021 In order to improve the flexibility and response efficiency of warehouse dispatching, a cascaded improved differential evolution algorithm is proposed to construct the allocation of goods with the picking trolley running time, shelf stability, and ...
CHEN Guangfeng, YU Lichao
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Short-Term Load Forecasting Based on a Hybrid Neural Network and Phase Space Reconstruction
IEEE Access, 2022 Most current short-term load forecasting models have difficulty in simultaneously taking into account the time-series nature of load data, the non-linear characteristics, and the ineffectiveness of extracting potential high-dimensional features from ...
Yuan Huang +3 more
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