Results 11 to 20 of about 116,877 (316)

Correlation of age of onset and clinical severity in Niemann–Pick disease type C1 with lysosomal abnormalities and gene expression

Scientific Reports, 2022
Niemann–Pick disease type C1 (NPC1) is a rare, prematurely fatal lysosomal storage disorder which exhibits highly variable severity and disease progression as well as a wide-ranging age of onset, from perinatal stages to adulthood. This heterogeneity has
Laura L. Baxter, Dawn E. Watkins-Chow, Nicholas L. Johnson, Nicole Y. Farhat, Frances M. Platt, Ryan K. Dale, Forbes D. Porter, William J. Pavan, Jorge L. Rodriguez-Gil   +8 more
doaj   +1 more source

Route Stability in the Uncertain Capacitated Arc Routing Problem

Frontiers in Energy Research, 2022
Power line inspections in a microgrid can be modeled as the uncertain capacitated arc routing problem, which is a classic combinatorial optimization problem.
Yuxin Liu, Jiaxin Wang, Jingjie Zhao, Xianghua Li   +3 more
doaj   +1 more source

The Effect of Multi-Generational Selection in Geometric Semantic Genetic Programming

Applied Sciences, 2022
Among the evolutionary methods, one that is quite prominent is genetic programming. In recent years, a variant called geometric semantic genetic programming (GSGP) was successfully applied to many real-world problems.
Mauro Castelli, Luca Manzoni, Luca Mariot, Giuliamaria Menara, Gloria Pietropolli   +4 more
doaj   +1 more source

Semantically Driven Mutation in Genetic Programming [PDF]

, 2008
Using semantic analysis, we present a technique known as semantically driven mutation which can explicitly detect and apply behavioural changes caused by the syntactic changes in programs that result from the mutation operation. Using semantically driven
Beadle, Lawrence, Colin G. Johnson, Johnson, Colin G., Lawrence Beadle   +3 more
core   +1 more source

Graph representations in genetic programming

, 2022
S.607-636Graph representations promise several desirable properties for genetic programming (GP); multiple-output programs, natural representations of code reuse and, in many cases, an innate mechanism for neutral drift.
Dal Piccol Sotto, Léo Francoso, Basgalupp, Márcio Porto, Kalkreuth, Roman, Kaufmann, Paul, Atkinson, Timothy   +4 more
core   +1 more source

Forecasting and forecast-combining of quarterly earnings-per-share via genetic programming

Estudios de Administración, 2008
In this study we examine different methodologies to estimate earnings. More specifically, we evaluate the viability of Genetic Programming as both a forecasting model estimator and a forecast-combining methodology.
Arturo Rodríguez, Joaquín Trigueros
doaj   +1 more source

Adaptive Gene Level Mutation

Algorithms, 2021
Genetic Algorithms are stochastic optimization methods where solution candidates, complying to a specific problem representation, are evaluated according to a predefined fitness function.
Jalal Al-Afandi, András Horváth
doaj   +1 more source

PENDEKATAN ALGORITMA GENETIKA DALAM MENYELESAIKAN PERMASALAHAN FUZZY LINEAR PROGRAMMING

IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2011
Fuzzy linear programming is one of the linear programming developments which able to accommodate uncertainty in the real world. Genetic algorithm approach in solving linear programming problems with fuzzy constraints has been introduced by Lin (2008) by ...
Siska Dewi Lestari, Subanar Subanar
doaj   +1 more source

Event-based graphical monitoring in the EpochX genetic programming framework [PDF]

, 2013
EpochX is a genetic programming framework with provision for event management – similar to the Java event model – allowing the notification of particular actions during the lifecycle of the evolutionary algorithm. It also provides a flexible Stats system
Loïc Vaseux, Otero, Fernando E.B., Vaseux, Loic, Colin G. Johnson, Johnson, Colin G., Tom Castle, Castle, Tom, Fernando E.B. Otero   +7 more
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Evolving hash functions by means of genetic programming [PDF]

, 2006
Proceedings of the 8th annual conference on Genetic and evolutionary computation. Seattle, Washington, USA, July 08-12, 2006The design of hash functions by means of evolutionary computation is a relatively new and unexplored problem. In this work, we use
Ribagorda Garnacho, Arturo, Arturo Ribagorda, Estébanez Tascón, César, Pedro Isasi, Estébanez, César, Ribagorda, Arturo, Hernández, Julio C., César Estébanez, Julio César Hernández-Castro, Isasi, Pedro, Isasi Viñuela, Pedro   +10 more
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