Results 1 to 10 of about 65,077 (195)

Pareto Front Transformation in the Decision-Making Process for Spectral and Energy Efficiency Trade-Off in Massive MIMO Systems. [PDF]

Sensors (Basel)
This paper presents a method of choosing a single solution in the Pareto Optimal Front of the multi-objective problem of the spectral and energy efficiency trade-off in Massive MIMO (Multiple Input, Multiple Output) systems.
Haxhiraj E, Shahu D, Agastra E.
europepmc   +2 more sources

gcFront: a tool for determining a Pareto front of growth-coupled cell factory designs. [PDF]

Bioinformatics, 2022
Legon L, Corre C, Bates DG, Mannan AA.
europepmc   +1 more source

Rampant False Detection of Adaptive Phenotypic Optimization by ParTI-Based Pareto Front Inference. [PDF]

Mol Biol Evol, 2021
Sun M, Zhang J.
europepmc   +1 more source

Pareto Front Approximation Using a Hybrid Approach

Procedia Computer Science, 2013
AbstractA new method is proposed for approximating a Pareto front of a bound constrained biobjective optimization problem (BOP) where the evaluation of the objective functions is very expensive and/or the structure of the objective functions either cannot be exploited or not known.
Deshpande, Shubhangi, Watson, Layne T., Canfield, Robert A.   +2 more
openaire   +1 more source

EM-driven size reduction and multi-criterial optimization of broadband circularly-polarized antennas using pareto front traversing and design extrapolation. [PDF]

Sci Rep, 2022
Ullah U, Al-Hasan M, Koziel S, Mabrouk IB.   +3 more
europepmc   +1 more source

Pareto front for chemotherapy scheludes

, 2012
In this paper we consider a multi-objective approach to chemother-apy optimization. We assume that the dynamics of the tumor are mod-eling for the stochastic Gompertz growth model with a linear cell-losseffect . We consider fuzzy constraints for the problem.
Barrea, Andres Alberto, Hernandez, Matias Ezequiel   +1 more
openaire   +1 more source

Multiobjective Test Problems with Degenerate Pareto Fronts

, 2018
In multiobjective optimisation, a set of scalable test problems with a variety of features allow researchers to investigate and evaluate the abilities of different optimisation algorithms, and thus can help them to design and develop more effective and efficient approaches.
Zhen, Liangli, Li, Miqing, Cheng, Ran, Peng, Dezhong, Yao, Xin   +4 more
openaire   +2 more sources

Efficient Fairness-Performance Pareto Front Computation

There is a well known intrinsic trade-off between the fairness of a representation and the performance of classifiers derived from the representation. Due to the complexity of optimisation algorithms in most modern representation learning approaches, for a given method it may be non-trivial to decide whether the obtained fairness-performance curve of ...
Kozdoba, Mark, Perets, Binyamin, Mannor, Shie   +2 more
openaire   +2 more sources

Finding the Pareto front for high-entropy-alloy catalysts. [PDF]

Chem Sci
Zhang C, Lu R, Sun Q, Mao Y, Söhnel T, Zhao Y, Truhlar DG, Wang Z.   +7 more
europepmc   +1 more source

Pareto-Front Optimization of Variance-Added Expected Loss with Interrelated Qualities. [PDF]

Entropy (Basel)
Kim S, Lee K.
europepmc   +1 more source