Results 21 to 30 of about 9,566,413 (315)
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 +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 +4 more
doaj +1 more source
ARJA: Automated Repair of Java Programs via Multi-Objective Genetic Programming [PDF]
IEEE Transactions on Software Engineering, 2017 Automated program repair is the problem of automatically fixing bugs in programs in order to significantly reduce the debugging costs and improve the software quality.
Yuan Yuan, W. Banzhaf
semanticscholar +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
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
Genetic Programming of Hypertension
Frontiers in Pediatrics, 2018 The heritability of hypertension (HTN) is widely recognized and as a result, extensive studies ranging from genetic linkage analyses to genome-wide association studies are actively ongoing to elucidate the etiology of both monogenic and polygenic forms ...
Sun-Young Ahn +3 more
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
Interpretable Policies for Reinforcement Learning by Genetic Programming [PDF]
Engineering applications of artificial intelligence, 2017 The search for interpretable reinforcement learning policies is of high academic and industrial interest. Especially for industrial systems, domain experts are more likely to deploy autonomously learned controllers if they are understandable and ...
D. Hein, S. Udluft, T. Runkler
semanticscholar +1 more source
Genetic Programming for Smart Phone Personalisation [PDF]
, 2014 Personalisation in smart phones requires adaptability to dynamic context based on user mobility, application usage and sensor inputs. Current personalisation approaches, which rely on static logic that is developed a priori, do not provide sufficient ...
Cotillon, Alban +3 more
core +1 more source
Sequential Symbolic Regression with Genetic Programming [PDF]
, 2015 This chapter describes the Sequential Symbolic Regression (SSR) method, a new strategy for function approximation in symbolic regression. The SSR method is inspired by the sequential covering strategy from machine learning, but instead of sequentially ...
D White +4 more
core +1 more source