Results 81 to 90 of about 88,991 (314)
Hybrid differential evolution - Scatter search algorithm for permutative optimization [PDF]
This chapter deals with modified version of DE algorithm, enriched by scatter search to show its improved performance.
Zelinka, Ivan +2 more
core
Differential evolution algorithm is applied to optimization problem of mechanical design and the basal theory and steps are analysed. At the same time, double best mutation operation and chaos migration operation are proposed to improve differential ...
李高扬, 吴育华, 刘明广
doaj
In this study, twelve modified differential evolution algorithms with memory properties and adaptive parameters were proposed to address optimization problems.
Shang-Kuan Chen, Gen-Han Wu, Yu-Hsuan Wu
doaj +1 more source
Liquid biopsy‐based diagnostic evaluation of hypermethylated CpG sites for ovarian cancer diagnosis
This schematic outlines the workflow from biomarker identification to duplex MethyLight assay validation for epithelial ovarian cancer diagnosis using cfDNA‐based liquid biopsy. Initial screening of hypermethylated CpG candidates (cg02957270, cg10061138 cg00480298, COL2A1) was performed in tissue using ARMS‐PCR, COBRA, qPCR and image analysis. Selected
Deepa Bisht +3 more
wiley +1 more source
DIFFERENTIAL EVOLUTION ALGORITHM FOR OPTIMAL POWER FLOW [PDF]
: The optimal power flow (OPF) problem has been intensively studied and widely used in power system operation and planning. In the past few years, so many optimization methods such as Genetic Algorithm (GA), Evolutionary Programming (EP) have been ...
Reddy, Prasad Dinakara
core
Patient‐derived organoids (PDOs) from pancreatic, colorectal, and gastric cancers were used to evaluate standard and experimental therapies. Incorporating cancer‐associated fibroblasts (CAFs) into organoid cultures improved patient therapy outcome prediction.
Marcin Grochowski +12 more
wiley +1 more source
Differential Evolution for Multiobjective Portfolio Optimization [PDF]
Financial portfolio optimization is a challenging problem. First, the problem is multiobjective (i.e.: minimize risk and maximize profit) and the objective functions are often multimodal and non smooth (e.g.: value at risk).
Thiemo Krink, Sandra Paterlini
core
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
A novel differential evolution algorithmic approach to transmission expansion planning
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
The application of two techniques for the reconstruction of shape reconstruction of a metallic cylinder from scattered field measurements is studied in this paper.
Sun, Chi-Hsien; Chiu, Chien-Ching; Ho, Min-Hui; Li, Ching-Lieh +1 more
core +1 more source

