Results 91 to 100 of about 6,112,119 (319)
Multi-objective chaos game optimization
The Chaos Game Optimization (CGO) has only recently gained popularity, but its effective searching capabilities have a lot of potential for addressing single-objective optimization issues.
Seyedali Mirjalili +7 more
core +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
A test problem for visual investigation of high-dimensional multi-objective search [PDF]
An inherent problem in multiobjective optimization is that the visual observation of solution vectors with four or more objectives is infeasible, which brings major difficulties for algorithmic design, examination, and development.
Yang, S +9 more
core +1 more source
Multi-objective fitness-dependent optimizer algorithm
This paper proposes the multi-objective variant of the recently-introduced fitness dependent optimizer (FDO). The algorithm is called a multi-objective fitness dependent optimizer (MOFDO) and is equipped with all five types of knowledge (situational ...
Tarik A. Rashid +7 more
core +1 more source
Multi-objective routing and scheduling for airport ground movement [PDF]
Recent research on airport ground movement introduced an Active Routing framework to support multi-objective trajectory-based operations. This results in edges in the airport taxiway graph having multiple costs such as taxi time, fuel consumption and ...
Edmund K. Burke +2 more
core +1 more source
METAHEURISTIC-DRIVEN MULTI OBJECTIVE FIR FILTER DESIGN FOR ECG DENOISING
Digital signal processing in biomedical applications requires advanced filtering techniques that can simultaneously optimize multiple performance criteria.
Mehmet Fatih Karakaş, Fatma Latifoğlu
doaj +1 more source
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
Multi-objective worst case optimization by means of evolutionary algorithms [PDF]
Many real-world optimization problems are subject to uncertainty. A possible goal is then to find a solution which is robust in the sense that it has the best worst-case performance over all possible scenarios.
Avigad, Gideon +2 more
core
A Multi Objective Approach to Short Food Supply Chain Management
Conventional supply chains, involving several stages and various intermediaries, are affected by some well- known forms of inefficiencies and drawbacks.
G. Aiello +3 more
doaj +1 more source
Single‐cell multi‐omics reveals epigenetic heterogeneity across therapy‐adaptive tumor states, including quiescent/dormant, drug‐tolerant persister, and EMT‐like phenotypes. By linking regulatory features with state‐associated biomarkers, these approaches inform biomarker‐guided therapeutic strategies for evolving tumors.
Hee Jung Kim +3 more
wiley +1 more source

