Results 141 to 150 of about 321,320 (290)
DGA and Pareto Elitism : Improving Pareto Optimization
, 1997 Previous works have shown the efficiency of a new approach for the Genetic Algorithms, the Dual Genetic Algorithms, in the multiobjective optimization context. Dual Genetic Algorithms make use of a meta level to enhance the expressiveness of schemata, entities implicitly handle by Genetic Algorithms.
Clergue, Manuel +2 more
openaire +1 more source
ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.This work systematically reviews the key factors influencing the performance of low‐temperature NH3‐SCR. The mechanism and challenges of defect engineering strategies, such as oxygen vacancies, heteroatom doping, crystal facet exposure, and surface reconstruction, in controlling both activity and selectivity were analyzed.
Rongrong Kan +3 more
wiley +1 more source
Micro- and Macroeconomic Models and Optimization Procedures
Theory, Methodology, Practice, 2013 The conventional economics lies on the fundamental assumption of neoclassical welfare economics according to which the primarily aim of economics is to achieve Pareto optimal conditions.
Sándor Karajz
doaj
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
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
Dynamic multi‐objective optimisation of complex networks based on evolutionary computation
IET Networks, EarlyView., 2022 Abstract As the problems concerning the number of information to be optimised is increasing, the optimisation level is getting higher, the target information is more diversified, and the algorithms are becoming more complex; the traditional algorithms such as particle swarm and differential evolution are far from being able to deal with this situation ...
Linfeng Huang
wiley +1 more source
Pareto-optimized stacked ensemble machine learning framework for predicting bearing capacity of driven piles from static load test data. [PDF]
Sci RepAbdellatief M, ElNemr A, Altahrany A.
europepmc +1 more source
Energy Science &Engineering, EarlyView.(1) A theoretical framework for examining the impact of the CETS on carbon emissions in the LS of the YREB is developed based on Porter's hypothesis and synergy theory. (2) Assessing the Effects of a CETS through DID Modeling. (3) The spatial correlation of carbon emissions within the LS is examined through the development of a SDM.
Zhaoyang Zhao, Chong Ye, Jing Huang
wiley +1 more source
LinearCDSfold: a tool for co-optimizing secondary structure stability and codon usage in coding sequence design. [PDF]
Bioinform AdvLiu YS, Ju YR, Chang KW, Lu CL.
europepmc +1 more source
Low‐Carbon Optimal Scheduling of Multiple Virtual Power Plants Based on Asymmetric Nash Bargaining
Energy Science &Engineering, EarlyView.ABSTRACT To effectively investigate the structural discrepancies and complementary energy characteristics among multiple virtual power plants (VPPs), and to improve the economic efficiency, low‐carbon performance, and operational reliability of the multi‐agent system, this paper proposes a low‐carbon collaborative optimal operation strategy for ...
Junjie Qiu +5 more
wiley +1 more source