Results 11 to 20 of about 12,515 (232)
A biased random‐key genetic algorithm for the home health care problem
AbstractHome health care problems consist in scheduling visits to home patients by health professionals while following a series of requirements. This paper studies the Home Health Care Routing and Scheduling Problem, which comprises a multi‐attribute vehicle routing problem with soft time windows.
Alberto F. Kummer +3 more
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Steganography using Biased Random Keys Genetic Algorithm
A esteganografia é vista com bons olhos no mundo digital como uma alternativa de envio de dados via arquivos em formato digital, mas há questionamentos quanto à sua qualidade e segurança, visto que uma simples degradação a expõe à interceptação de dados.
dos Santos Araujo, Getulio +1 more
openaire +1 more source
Detection of network communities with memory-biased random walk algorithms
Community structure and its detection in complex networks has been the subject of many studies in the recent years. Towards this goal, we have created a novel approach based on the analysis of the motion of a memory-biased random walker, i.e. an entity that traverses the network with some tendency to follow or avoid pathways it has previously traversed.
Yucel, Mesut +2 more
openaire +3 more sources
A biased random-key genetic algorithm for the chordal completion problem
A graph is chordal if all its cycles of length greater than or equal to four contain a chord,i.e., an edge connecting two nonconsecutive vertices of the cycle. Given a graphG= (V, E), the chordal completion problem consists in finding the minimum set of edges to be added toGto obtain a chordal graph.
Samuel E. Silva +2 more
openaire +2 more sources
Dinucleotide controlled null models for comparative RNA gene prediction
Background Comparative prediction of RNA structures can be used to identify functional noncoding RNAs in genomic screens. It was shown recently by Babak et al. [BMC Bioinformatics.
Gesell Tanja, Washietl Stefan
doaj +1 more source
Biased random-key genetic algorithms: A review
This paper is a comprehensive literature review of Biased Random-Key Genetic Algorithms (BRKGA). BRKGA is a metaheuristic that employs random-key-based chromosomes with biased, uniform, and elitist mating strategies in a genetic algorithm framework.
Mariana A. Londe +3 more
openaire +3 more sources
This paper addresses a multiobjective version of the Team Orienteering Problem (TOP). The TOP focuses on selecting a subset of customers for maximum rewards while considering time and fleet size constraints.
Lucia Agud-Albesa +4 more
doaj +1 more source
Penyelesaian CCVRPTW Menggunakan Biased Random Key Genetic Algorithm-Populasi Degradasi
The article presents the Biased Random Key Genetic Algorithm-Population Degradation (BRKGA-PD) design for completing Capacitated Closed Vehicle Routing Problem with Time Windows (CCVRPTW) on soft drink distributions that have been studied by Sembiring (2008).
Listy Avri Christiana, Hari Prasetyo
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Detection of extrachromosomal circular DNA (eccDNA) in plasma samples from EGFR‐mutated non‐small cell lung cancer patients. Plasma was collected before and during treatment with the EGFR‐tyrosine kinase inhibitor osimertinib. Plasma eccDNA was detected in all cancer samples, and the presence of the EGFR gene on eccDNA serves as a potential biomarker ...
Simone Stensgaard +5 more
wiley +1 more source
In automated storage and retrieval systems (AS/RSs), the utilization of intelligent algorithms can reduce the makespan required to complete a series of input/output operations.
Mattia Neroni +2 more
doaj +1 more source

