Population-Based Approaches to the Resource-Constrained and Discrete-Continuous Scheduling

2018 ◽  
Author(s):  
Ewa Ratajczak-Ropel ◽  
Aleksander Skakovski
Keyword(s):  
Population Based ◽  
Resource Constrained ◽  
Continuous Scheduling

Surrogate-assisted Population Based ACO for Resource Constrained Job Scheduling with Uncertainty

2022 ◽  
pp. 101029
Author(s):  
Dhananjay Thiruvady ◽  
Su Nguyen ◽  
Fatemeh Shiri ◽  
Nayyar Zaidi ◽  
Xiaodong Li
Keyword(s):  
Job Scheduling ◽  
Population Based ◽  
Resource Constrained

scholarly journals An Efficient ACO+RVND for Solving the Resource-Constrained Deliveryman Problem

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Ban Ha Bang
Keyword(s):  
Ant Colony Algorithm ◽  
State Of The Art ◽  
Random Variable ◽  
Search Space ◽  
Population Based ◽  
Resource Constrained ◽  
Variable Neighborhood Descent ◽  
Combinatorial Explosion ◽  
Promising Solution ◽  
Population Based Algorithm

In this paper, Resource-Constrained Deliveryman Problem (RCDMP) is introduced. The RCDMP problem deals with finding a tour with minimum waiting time sum so that it consumes not more than the $R_{max}$ unites of the resources, where $R_{max}$ is some constant. Recently, an algorithm developed in a trajectory-based metaheuristic has been proposed. Since the search space of the problem is a combinatorial explosion, the trajectory-based sequential can only explore a subset of the search space, therefore, they easily fall into local optimal in some cases. To overcome the drawback of the current algorithms, we propose a population-based algorithm that combines an Ant Colony Algorithm (ACO), and Random Variable Neighborhood Descent (RVND). In the algorithm, ACO explores the promising solution areas while RVND exploits them with the hope of improving a solution. Extensive numerical experiments and comparisons with the state-of-the-art metaheuristic algorithms in the literature show that the proposed algorithm reaches better solutions in many cases.

scholarly journals Development and Validation of a Simple Risk Score for Undiagnosed Type 2 Diabetes in a Resource-Constrained Setting

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Antonio Bernabe-Ortiz ◽  
Liam Smeeth ◽  
Robert H. Gilman ◽  
Jose R. Sanchez-Abanto ◽  
William Checkley ◽  
...  
Keyword(s):  
Cohort Study ◽  
Waist Circumference ◽  
Risk Score ◽  
Population Based ◽  
Undiagnosed Diabetes ◽  
Resource Constrained ◽  
First Degree Relatives ◽  
Development And Validation ◽  
Incident Cases

Objective. To develop and validate a risk score for detecting cases of undiagnosed diabetes in a resource-constrained country.Methods. Two population-based studies in Peruvian population aged ≥35 years were used in the analysis: the ENINBSC survey (n=2,472) and the CRONICAS Cohort Study (n=2,945). Fasting plasma glucose ≥7.0 mmol/L was used to diagnose diabetes in both studies. Coefficients for risk score were derived from the ENINBSC data and then the performance was validated using both baseline and follow-up data of the CRONICAS Cohort Study.Results. The prevalence of undiagnosed diabetes was 2.0% in the ENINBSC survey and 2.9% in the CRONICAS Cohort Study. Predictors of undiagnosed diabetes were age, diabetes in first-degree relatives, and waist circumference. Score values ranged from 0 to 4, with an optimal cutoff ≥2 and had a moderate performance when applied in the CRONICAS baseline data (AUC = 0.68; 95% CI: 0.62–0.73; sensitivity 70%; specificity 59%). When predicting incident cases, the AUC was 0.66 (95% CI: 0.61–0.71), with a sensitivity of 69% and specificity of 59%.Conclusions. A simple nonblood based risk score based on age, diabetes in first-degree relatives, and waist circumference can be used as a simple screening tool for undiagnosed and incident cases of diabetes in Peru.

Risk of fracture in Crohn's disease: A population-based study

2001 ◽  
Vol 120 (5) ◽  
pp. A628-A628
Author(s):  
E LOFTUSJR ◽  
C CROWSON ◽  
W SANDBORN ◽  
W TREAMINE ◽  
W OFALLON ◽  
...  
Keyword(s):  
Crohn’S Disease ◽  
Crohn's Disease ◽  
Population Based ◽  
Population Based Study ◽  
Risk Of Fracture

1419: Population-Based PSA Velocity

2007 ◽  
Vol 177 (4S) ◽  
pp. 468-468
Author(s):  
David Connolly ◽  
Amanda Black ◽  
Liam J. Murray ◽  
Anna Gavin ◽  
Patrick F. Keane
Keyword(s):  
Population Based ◽  
Psa Velocity
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