Results 51 to 60 of about 299,863 (342)

A Competitive Co-Evolutionary Approach for the Multi-Objective Evolutionary Algorithms [PDF]

open access: yesIEEE Access, 2020
In multi-objective evolutionary algorithms (MOEAs), convergence and diversity are two basic issues and keeping a balance between them plays a vital role. There are several studies that have attempted to address this problem, but this is still an open challenge.
Van Truong Vu   +2 more
openaire   +2 more sources

Unraveling the Molecular Mechanisms of Glioma Recurrence: A Study Integrating Single‐Cell and Spatial Transcriptomics

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks.
Lei Qiu   +10 more
wiley   +1 more source

Hybridation of Bayesian networks and evolutionary algorithms for multi-objective optimization in an integrated product design and project management context [PDF]

open access: yes, 2010
A better integration of preliminary product design and project management processes at early steps of system design is nowadays a key industrial issue.
Baron, Claude   +3 more
core   +4 more sources

Fractional Skyrmion Tubes in Chiral‐Interfaced 3D Magnetic Nanowires

open access: yesAdvanced Functional Materials, EarlyView.
In chiral 3D helical magnetic nanowires, the coupling between the geometric and magnetic chirality provides a way to create topological spin states like vortex tubes. Here, it is demonstrated how the breaking of this coupling in interfaced 3D nanowires of opposite chirality leads to even more complex topological spin states, such as fractional ...
John Fullerton   +11 more
wiley   +1 more source

A novel hybrid multi-objective metamodel-based evolutionary optimization algorithm

open access: yesOperations Research Perspectives, 2019
Optimization via Simulation (OvS) is an useful optimization tool to find a solution to an optimization problem that is difficult to model analytically.
Enrique Gabriel Baquela   +1 more
doaj   +1 more source

Multi-objective gene-pool optimal mixing evolutionary algorithms [PDF]

open access: yesProceedings of the 2014 Annual Conference on Genetic and Evolutionary Computation, 2014
The recently introduced Gene-pool Optimal Mixing Evolutionary Algorithm (GOMEA), with a lean, but sufficient, linkage model and an efficient variation operator, has been shown to be a robust and efficient methodology for solving single objective (SO) optimization problems with superior performance compared to classic genetic algorithms (GAs) and ...
Luong, Ngoc Hoang   +2 more
openaire   +2 more sources

Laser‐Induced Graphene from Waste Almond Shells

open access: yesAdvanced Functional Materials, EarlyView.
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova   +9 more
wiley   +1 more source

Multi-Class Classifier in Parkinson’s Disease Using an Evolutionary Multi-Objective Optimization Algorithm

open access: yesApplied Sciences, 2022
In this contribution, a novel methodology for multi-class classification in the field of Parkinson’s disease is proposed. The methodology is structured in two phases. In a first phase, the most relevant volumes of interest (VOI) of the brain are selected
Ignacio Rojas-Valenzuela   +3 more
doaj   +1 more source

Evolving temporal fuzzy itemsets from quantitative data with a multi-objective evolutionary algorithm [PDF]

open access: yes, 2008
We present a novel method for mining itemsets that are both quantitative and temporal, for association rule mining, using multi-objective evolutionary search and optimisation.
Gongora, Mario A.   +2 more
core   +4 more sources

Multi-objective tag SNPs selection using evolutionary algorithms [PDF]

open access: yesBioinformatics, 2010
Abstract Motivation: Integrated analysis of single nucleotide polymorphisms (SNPs) and structure variations showed that the extent of linkage disequilibrium is common across different types of genetic variants. A subset of SNPs (called tag SNPs) is sufficient for capturing alleles of bi-allelic and even multi-allelic variants.
Chuan-Kang, Ting   +2 more
openaire   +2 more sources

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