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Ranking Function to Solve a Fuzzy Multiple Objective Function

open access: goldمجلة بغداد للعلوم, 2021
In this paper two ranking functions are employed to treat the fuzzy multiple objective (FMO) programming model, then using two kinds of membership function, the first one is trapezoidal fuzzy (TF) ordinary membership function, the second one is ...
Rasha Jalal Mitlif, Iden Hasan Hussein
doaj   +3 more sources

Objective: Biochemical Function [PDF]

open access: yesFrontiers in Genetics, 2014
DNA sequencing enables the discovery of new genes in high-throughput, low-cost experiments. Conversely, gene function is determined by low-throughput, high-cost experiments. This inverse relationship for these two types of data is a major impediment in meeting one of the major scientific challenges of our time—the understanding of genomes.
Brian P Anton   +5 more
doaj   +3 more sources

Collaborative optimization by shared objective function data

open access: goldArray, 2022
This article presents a collaborative algorithmic framework that is effective for solving a multi-task optimization scenario where the evaluation of their objectives consists of two parts: The first part involves a common computationally heavy function ...
I Gusti Agung Gede Angga   +4 more
doaj   +2 more sources

The biomass objective function. [PDF]

open access: yesCurr Opin Microbiol, 2010
Flux balance analysis (FBA) is a mathematical approach for analyzing the flow of metabolites through a metabolic network. To computationally predict cell growth using FBA, one has to determine the biomass objective function that describes the rate at which all of the biomass precursors are made in the correct proportions.
Feist AM, Palsson BO.
europepmc   +4 more sources

Non-Rigid Point Set Registration via Adaptive Weighted Objective Function

open access: yesIEEE Access, 2018
Non-rigid point set registration is a fundamental problem in many fields related to computer vision, medical image processing, and pattern recognition. In this paper, we develop a new point set registration method by using an adaptive weighted objective ...
Changcai Yang   +6 more
doaj   +2 more sources

To know the objective is not (necessarily) to know the objective function [PDF]

open access: yesBioData Mining, 2018
Moshe Sipper   +2 more
doaj   +2 more sources

Convex Bi-Level Optimization Problems with Non-smooth Outer Objective Function [PDF]

open access: yesSIAM Journal on Optimization, 2023
In this paper, we propose the Bi-Sub-Gradient (Bi-SG) method, which is a generalization of the classical sub-gradient method to the setting of convex bi-level optimization problems. This is a first-order method that is very easy to implement in the sense
Roey Merchav, Shoham Sabach
semanticscholar   +1 more source

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