Results 11 to 20 of about 2,832,903 (299)
Genetic Programming for Low-Resource Systems [PDF]
, 2009 Embedded systems dominate the computing landscape. This dominance is increasing with the advent of ubiquitous computing whereby lightweight, low-resource systems are being deployed on a vast scale.
White, David Robert
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From Requirements to Source Code: Evolution of Behavioral Programs
Applied Sciences, 2022 Automatically generating executable code has a long history of arguably modest success, mostly limited to the generation of small programs of up to 200 lines of code, and genetic improvement of existing code. We present the use of genetic programming (GP)
Roy Poliansky +2 more
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Ladle nozzle opening and genetic programming [PDF]
Computer Methods in Materials Science, 2013 Štore Steel Ltd. faces a huge problem with ladle nozzle opening during the production of a wide variety of steel grades. After the ladle treatment the steel melt is poured from the ladle through the sliding gate and the nozzle into the tundish on the ...
Miha Kovačič +2 more
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Evolving Takagi-Sugeno-Kang fuzzy systems using multi-population grammar guided genetic programming [PDF]
This work proposes a novel approach for the automatic generation and tuning of complete Takagi-Sugeno-Kang fuzzy rule based systems. The examined system aims to explore the effects of a reduced search space for a genetic programming framework by means of
Tsakonas, Athanasios, Gabrys, Bogdan
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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
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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 +3 more
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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
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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
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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
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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
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