Results 121 to 130 of about 66,012 (265)
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 +2 more
openaire +1 more source
A multi‐level approach for multi‐objective optimization in process eco‐design
Environmental Progress &Sustainable Energy, EarlyView.Abstract This work addresses a central challenge in process eco‐design: how to efficiently integrate environmental and economic criteria—often conflicting—into early design stages while managing the high dimensionality of Life Cycle Assessment (LCA) indicators.
Luis Fernando Morales‐Mendoza +3 more
wiley +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 +3 more
europepmc +1 more source
An n‐of‐1 gene‐directed drug repurposing trial for an ultrarare genetic condition
Epilepsia, EarlyView.Abstract Objective Gain‐of‐function (GoF) variants in the KCNC1 potassium channel subunit gene (Kv3.1) cause motor/cognitive delays and hypotonia and have been associated with seizures. Fluoxetine has inhibitory effects on Kv3.1. However, open‐label nonrandomized administration is insufficient to guide clinical decision‐making in ultrarare conditions ...
Vedika Jha +13 more
wiley +1 more source
International Journal of Computational Intelligence SystemsIn metaheuristic multi-objective optimization, the term effectiveness is used to describe the performance of a metaheuristic algorithm in achieving two main goals—converging its solutions towards the Pareto front and ensuring these solutions are well ...
Kanak Kalita +4 more
doaj +1 more source
Energy Science &Engineering, EarlyView.Tri‐fuel diesel–Calophyllum inophyllum biodiesel–hydrogen operation was tested over 96 points in a diesel engine. Eight performance and emission metrics feed a preference‐agnostic Bootstrapped Empirical Multiobjective Ranking and Selection methodology, revealing load‐blend‐hydrogen windows that increase efficiency, restrain smoke, and expose NOx trade ...
C. Naga Kumar +5 more
wiley +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 +1 more
openaire +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
Energy Science &Engineering, EarlyView.To enhance the power restoration speed of networked microgrids (NMGs) after extreme natural disasters and reduce the power outage of the system, this paper proposes a rapid post‐disaster restoration method for NMGs based co‐optimization of fault repair and load restoration.
Yunfan Zhang +3 more
wiley +1 more source