Search Results - subject:"Genetic Programming"

Genetic-Fuzzy Programming Based Linkage Rule Miner (GFPLR-Miner) for Entity Linking in Semantic Web

Sharan, Aditi; Singh, Amit - In: International Journal on Semantic Web and Information … 14 (2018) 3, pp. 134-166

scalable. Their approach uses fuzzy logic to adapt mutation and crossover rates of genetic programming to ensure guided …

Persistent link: https://www.econbiz.de/10012048299

An experimental investigation on strain controlled fatigue behaviour of FDM build parts

Mishra, Swayam Bikash; Mahapatra, Siba Sankar - In: International journal of productivity and quality … 24 (2018) 3, pp. 323-345

Persistent link: https://www.econbiz.de/10011924246

Investment opportunities forecasting : a genetic programming-based dynamic portfolio trading system under a directional-change framework

Aloud, Monira Essa - In: The journal of computational finance 22 (2018) 1, pp. 1-35

Persistent link: https://www.econbiz.de/10011890177

An automated investing method for stock market based on multiobjective genetic programming

Pimenta, Alexandre; Nametala, Ciniro A. L.; Guimarães, … - In: Computational economics 52 (2018) 1, pp. 125-144

Persistent link: https://www.econbiz.de/10012052925

Fund managers - Why the best might be the worst: On the evolutionary vigor of risk-seeking behavior

Witte, Björn-Christopher - 2012

This article explores the influence of competitive conditions on the evolutionary fitness of risk preferences, using the professional competition between fund managers as a practical example. To explore how different settings of competition parameters, the exclusion rate and the exclusion...

Persistent link: https://www.econbiz.de/10010308725

Fund managers - Why the best might be the worst: On the evolutionary vigor of risk-seeking behavior

Witte, Björn-Christopher - In: Economics: The Open-Access, Open-Assessment E-Journal 6 (2012) 2012-24, pp. 1-29

This article explores the influence of competitive conditions on the evolutionary fitness of different risk preferences. As a practical example, the professional competition between fund managers is considered. To explore how different settings of competition parameters, the exclusion rate and...

Persistent link: https://www.econbiz.de/10010309602

Fund managers - Why the best might be the worst: On the evolutionary vigor of risk-seeking behavior

Witte, Björn-Christopher - Institut für Weltwirtschaft (IfW) - 2012

Persistent link: https://www.econbiz.de/10010983166

Predicting High or Low Transfer Efficiency of Photovoltaic Systems Using a Novel Hybrid Methodology Combining Rough Set Theory, Data Envelopment Analysis and Genetic Programming

Lee, Yi-Shian; Tong, Lee-Ing - In: Energies 5 (2012) 3, pp. 545-560

analysis (DEA), and genetic programming (GP). Finally, real data-set are utilized to demonstrate the accuracy of the proposed …

Persistent link: https://www.econbiz.de/10010675977

Software Defect Prediction Using Genetic Programming and Neural Networks

Akour, Mohammed; Melhem, Wasen Yahya - In: International Journal of Open Source Software and … 8 (2017) 4, pp. 32-51

effects and accuracy of genetic programming on software defect prediction. To find solutions for this problem, a comparative … software defect prediction experiment between genetic programming and neural networks are performed on four datasets from the …-based classification is useful. Nevertheless, this article specifies that the application and usage of genetic programming is highly …

Persistent link: https://www.econbiz.de/10012046984

Using survey data to forecast real activity with evolutionary algorithms : a cross-country analysis

Claveria, Oscar; Monte, Enric; Torra, Salvador - In: Journal of applied economics 20 (2017) 2, pp. 329-349

Persistent link: https://www.econbiz.de/10011950622