Results 51 to 60 of about 644,441 (293)

Single-objective and multi-objective optimization using the HUMANT algorithm

open access: yesCroatian Operational Research Review, 2015
When facing a real world, optimization problems mainly become multi-objective i.e. they have several criteria of excellence. A multi-criteria problem submitted for multi-criteria evaluation is a complex problem, as usually there is no optimal solution ...
Marko Mladineo   +2 more
doaj   +1 more source

Tracking Motor Progression and Device‐Aided Therapy Eligibility in Parkinson's Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To characterise the progression of motor symptoms and identify eligibility for device‐aided therapies in Parkinson's disease, using both the 5‐2‐1 criteria and a refined clinical definition, while examining differences across genetic subgroups.
David Ledingham   +7 more
wiley   +1 more source

Pareto-Path Multi-Task Multiple Kernel Learning [PDF]

open access: yes, 2014
A traditional and intuitively appealing Multi-Task Multiple Kernel Learning (MT-MKL) method is to optimize the sum (thus, the average) of objective functions with (partially) shared kernel function, which allows information sharing amongst tasks.
Anagnostopoulos, Georgios C.   +2 more
core   +1 more source

Higher Amyloid and Tau Burden Is Associated With Faster Decline on a Digital Cognitive Test

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective A 2‐min digital clock‐drawing test (DCTclock) captures more granular features of the clock‐drawing process than the pencil‐and‐paper clock‐drawing test, revealing more subtle deficits at the preclinical stage of Alzheimer's disease (AD). A previous cross‐sectional study demonstrated that worse DCTclock performance was associated with
Jessie Fanglu Fu   +16 more
wiley   +1 more source

A Comprehensive Analysis on Enhancing Multi-Objective Evolutionary Algorithms Using Chaotic Dynamics and Dominant Relationship-Based Search Strategies

open access: yesIEEE Access
In optimization and decision-making, multi-objective optimization has emerged as a pivotal challenge. Over the past three decades, the concerted efforts of scholars and practitioners across various disciplines have significantly advanced the study and ...
Zitong Wang, Yan Pei, Jianqiang Li
doaj   +1 more source

Optimization Route Planning Method Based on Type-2 Fuzzy Sets Reasoning [PDF]

open access: yesJisuanji gongcheng, 2018
The route planning is a multi-objective optimization problem with constrains.The commonly used optimization algorithm is to transform the multi-objective optimization problem into a single-objective optimization problem by the weighted coefficient method.
SHAO Xiancheng,CAI Chao,WANG Houjun,LI Dongwu
doaj   +1 more source

Multi-Objective Energy Efficient Resource Allocation in Massive Multiple Input Multiple Output-Aided Heterogeneous Cloud Radio Access Networks

open access: yesIEEE Access, 2023
In this work, a novel energy efficient multi-objective resource allocation algorithm for heterogeneous cloud radio access networks (H-CRANs) is proposed where the trade-off between increasing throughput and decreasing operation cost is considered.
Nahid Amani   +2 more
doaj   +1 more source

Lessons Learned: Quality Analysis of Optical Coherence Tomography in Neuromyelitis Optica

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Optical coherence tomography (OCT)‐derived retina measurements are markers for neuroaxonal visual pathway status. High‐quality OCT scans are essential for reliable measurements, but their acquisition is particularly challenging in eyes with severe visual impairment, as often observed in neuromyelitis optica spectrum disorders ...
Hadi Salih   +40 more
wiley   +1 more source

Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah   +7 more
wiley   +1 more source

MOJMA: A novel multi-objective optimization algorithm based Java Macaque Behavior Model

open access: yesAIMS Mathematics, 2023
We introduce the Multi-objective Java Macaque Algorithm for tackling complex multi-objective optimization (MOP) problems. Inspired by the natural behavior of Java Macaque monkeys, the algorithm employs a unique selection strategy based on social ...
Dinesh Karunanidy   +4 more
doaj   +1 more source

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