Classification of Gene Expression Data Using Multiobjective Differential Evolution
Energies, 2016 Gene expression data are usually redundant, and only a subset of them presents distinct profiles for different classes of samples. Thus, selecting high discriminative genes from gene expression data has become increasingly interesting in bioinformatics ...
Shijing Ma, Xiangtao Li, Yunhe Wang
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Differential Evolution between Monotocous and Polytocous Species [PDF]
Asian-Australasian Journal of Animal Sciences, 2014 One of the most important traits for both animal science and livestock production is the number of offspring for a species. This study was performed to identify differentially evolved genes and their distinct functions that influence the number of ...
Hyeonju Ahn +4 more
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Closed-Form Solutions to Differential Equations via Differential Evolution
Discrete Dynamics in Nature and Society, 2015 We focus on solving ordinary differential equations using the evolutionary algorithm known as differential evolution (DE). The main purpose is to obtain a closed-form solution to differential equations.
L. Mex +2 more
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FREE SEARCH AND DIFFERENTIAL EVOLUTION TOWARDS DIMENSIONS NUMBER CHANGE [PDF]
, 2006 This paper presents an exploration of Free Search (FS) and modified Differential Evolution (DE) with enhanced adaptivity. The aim of the study is to identify how these methods can cope with changes of the number of variables of a hard design test ...
Penev, Kalin
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Finding exact solutions for selected nonlinear evolution differential equations [PDF]
, 2023 Burgers, Breaking Soliton and Boussinesq equations are applicable in different areas of physics. Searching their real solutions are particularly important.
Mohammed, Mayada G.. +2 more
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Adaptive Differential Evolution With Evolution Memory for Multiobjective Optimization
IEEE Access, 2019 In this paper, a multiobjective differential evolution (MODE) algorithm is developed by incorporating the memory mechanism of particle swarm optimization.
Kun Li, Huixin Tian
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Differential evolution schemes for speech segmentation: a comparative study [PDF]
, 2014 This paper presents a signal processing technique for segmenting short speech utterances into unvoiced and voiced sections and identifying points where the spectrum becomes steady. The segmentation process is part of a system for deriving musculoskeletal
Sunday Iliya +19 more
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Comparison Four Different Probability Sampling Methods based on Differential Evolution Algorithm
Journal of Advances in Information Technology, 2012 Differential Evolution (DE) is one kind of evolution algorithm, which based on difference of individuals. DE has exhibited good performance on optimization problem.
Qingbo Lu +3 more
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Hybrid Harmony Search Differential Evolution Algorithm
IEEE Access, 2021 Differential evolution (DE) algorithm has some excellent attributes including strong exploration capability. However, it cannot balance the exploitation with exploration ability in the search process.
Liyun Fu +4 more
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Differential Evolution Markov Chain with snooker updater and fewer chains [PDF]
, 2008 Differential Evolution Markov Chain (DE-MC) is an adaptive MCMC algorithm, in which multiple chains are run in parallel. Standard DE-MC requires at least N=2d chains to be run in parallel, where d is the dimensionality of the posterior.
Braak, C.J.F., ter, Vrugt, J.A.
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