Results 41 to 50 of about 43,517 (303)
A New Genetic Algorithm Approach Applied to Atomic and Molecular Cluster Studies
Frontiers in Chemistry, 2019 A new procedure is suggested to improve genetic algorithms for the prediction of structures of nanoparticles. The strategy focuses on managing the creation of new individuals by evaluating the efficiency of operators (o1, o2,…,o13) in generating well ...
Frederico T. Silva +2 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Fertility preservation (FP) is increasingly integrated into the care of pediatric patients exposed to gonadotoxic therapy or conditioning for hematopoietic stem cell transplantation (HSCT), yet perioperative data in infants and toddlers remain scarce.
Kerstin Saalabian +13 more
wiley +1 more source
Genetic search algorithms and their randomized operators [PDF]
, 1993 Genetic algorithms are stochastic search procedures based on randomized operators such as crossover and mutation. Many of the earlier works that have attempted to analyse the behaviour of genetic algorithms have marginalized the role of these operators ...
CHOCKALINGAM, T +3 more
core +1 more source
Genetic Operators Applied to Symmetric Cryptography
International Journal of Interactive Multimedia and Artificial Intelligence, 2019 In this article, a symmetric-key cryptographic algorithm for text is proposed, which applies Genetic Algorithms philosophy, entropy and modular arithmetic.
Jefferson Rodríguez +2 more
doaj +1 more source
Personalized Zebrafish Models for Fusion‐Positive Pediatric Sarcomas
Pediatric Blood &Cancer, EarlyView.ABSTRACT Clinical sequencing efforts have revolutionized our approaches to categorizing pediatric cancers in real time. This has dramatically improved our ability to profile pediatric tumors, identify actionable vulnerabilities, and influence clinical care.
Lisa H. Hall +2 more
wiley +1 more source
Multi-AGV path planning with double-path constraints by using an improved genetic algorithm. [PDF]
PLoS ONE, 2017 This paper investigates an improved genetic algorithm on multiple automated guided vehicle (multi-AGV) path planning. The innovations embody in two aspects.
Zengliang Han +3 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Leukemia is the most common childhood cancer in Mexico, and acute lymphoblastic leukemia (ALL) is the most frequent subtype. Exposure to high concentrations of benzene has been associated with ALL incidence, particularly in urban areas. This study evaluated the relationship between distance to benzene emission sources and the number
Orlando Rivera Zurita +5 more
wiley +1 more source
A hybrid decision tree/genetic algorithm method for data mining [PDF]
, 2004 This paper addresses the well-known classification task of data mining, where the objective is to predict the class which an example belongs to. Discovered knowledge is expressed in the form of high-level, easy-to-interpret classification rules.
Carvalho, Deborah R., Freitas, Alex A.
core +1 more source
Early Impact of Childhood Opportunity on Neurocognitive Outcomes in Sickle Cell Disease
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction Neurocognitive impairment is a well‐recognized complication of sickle cell disease (SCD) that begins early in childhood and persists across development. While cerebrovascular injury contributes substantially to risk, neurocognitive deficits are also observed in children without overt or silent cerebral infarctions, suggesting ...
Julia E. LaMotte +5 more
wiley +1 more source
Meta-Genetic Programming: Co-evolving the Operators of Variation [PDF]
, 2001 The standard Genetic Programming approach is augmented by co-evolving the genetic operators. To do this the operators are coded as trees of indefinite length.
Edmonds, Bruce
core