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Implementing The Cms+ Sports Rankings Algorithm In A Javafx Environment, Luke Welch
Implementing The Cms+ Sports Rankings Algorithm In A Javafx Environment, Luke Welch
Industrial Engineering Undergraduate Honors Theses
Every year, sports teams and athletes get cut from championship opportunities because of their rank. While this reality is easier to swallow if a team or athlete is distant from the cut, it is much harder when they are right on the edge. Many times, it leaves fans and athletes wondering, “Why wasn’t I ranked higher? What factors when into the ranking? Are the rankings based on opinion alone?” These are fair questions that deserve an answer. Many times, sports rankings are derived from opinion polls. Other times, they are derived from a combination of opinion polls and measured performance. …
Comparación De Cuatro Métodos De Predicción Para Dos Acciones En La Bolsa De Valores De Colombia, María Angélica Rey Vesga, Juan Alfonso Chamorro Chamorro
Comparación De Cuatro Métodos De Predicción Para Dos Acciones En La Bolsa De Valores De Colombia, María Angélica Rey Vesga, Juan Alfonso Chamorro Chamorro
Ingeniería Industrial
Los mercados de valores, más exactamente en su sección de títulos de renta variable, representan una alternativa de inversión donde tanto las organizaciones como los inversionistas se ven beneficiados, sin embargo, debido a su alto grado de variabilidad, las inversiones en este mercado conllevan un alto riesgo. Por tanto, la cuestión radical en la posibilidad de perder parte o la totalidad de la inversión. Es en este punto, donde los pronósticos adquieren un alto nivel de relevancia y el generar proyecciones anticipadas del futuro basadas en información histórica representa una clara ventaja, genera mayor claridad del panorama e incrementa la …
A New Metaheuristic Algorithm Motivated By The Rooting Phenomena In Plants, Behzad Nemati
A New Metaheuristic Algorithm Motivated By The Rooting Phenomena In Plants, Behzad Nemati
All Theses
In this thesis, we present a new metaheuristic algorithm for analyzing challenging optimization problems. Initial testing reveals the potential for the algorithm, which is based on the rooting phenomena found in plants in nature, to quickly produce effective solutions to challenging combinatorial optimization problems in the class NP. We present computational results describing the proposed metaheuristic's efficacy for an important class of scheduling problems and discuss areas of future work and application.