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
doaj +3 more sources
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
A novel differential evolution algorithmic approach to transmission expansion planning [PDF]
, 2009 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Nowadays modern electric power systems consist of large-scale and highly complex interconnected transmission systems, thus transmission expansion planning ...
Sum-Im, Thanathip
core +8 more sources
An inflationary differential evolution algorithm for space trajectory optimization [PDF]
, 2011 In this paper we define a discrete dynamical system that governs the evolution of a population of agents. From the dynamical system, a variant of Differential Evolution is derived.
Vasile, Massimiliano +2 more
core +4 more sources
An Investigation Into the use of Swarm Intelligence for an Evolutionary Algorithm Optimisation; The Optimisation Performance of Differential Evolution Algorithm Coupled with Stochastic Diffusion Search [PDF]
, 2011 The integration of Swarm Intelligence (SI) algorithms and Evolutionary algorithms (EAs) might be one of the future approaches in the Evolutionary Computation (EC).
Blackwell, Tim +2 more
core +7 more sources
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
doaj +1 more source
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
doaj +1 more source
IEEE Access, 2020 Chaos is widespread in non-linear systems such as finance, energy, and weather. In the chaos system, a variable changing with time generates a chaotic time series, which contains a wealth of information about the non-linear system, and it is helpful for ...
Weijian Huang, Yongtao Li, Yuan Huang
doaj +1 more source
Camera calibration based on improved differential evolution particle swarm
Measurement + Control, 2023 Aiming at the problem of camera calibration with multiple parameters, this paper proposes the fusion optimization algorithm of improved differential evolution and particle swarm in the calibration of the camera. Adaptive judgment factors is Introduced to
Wei Fu, Lushen Wu
doaj +1 more source
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