Application of Seasonal SVR Model with Genetic Algorithm and Tabu Search on Prediction
نویسندگان
چکیده
منابع مشابه
Flow Shop Scheduling Problem with Missing Operations: Genetic Algorithm and Tabu Search
Flow shop scheduling problem with missing operations is studied in this paper. Missing operations assumption refers to the fact that at least one job does not visit one machine in the production process. A mixed-binary integer programming model has been presented for this problem to minimize the makespan. The genetic algorithm (GA) and tabu search (TS) are used to deal with the optimization...
متن کاملApplication of Hybrid Quantum Tabu Search with Support Vector Regression (SVR) for Load Forecasting
Hybridizing chaotic evolutionary algorithms with support vector regression (SVR) to improve forecasting accuracy is a hot topic in electricity load forecasting. Trapping at local optima and premature convergence are critical shortcomings of the tabu search (TS) algorithm. This paper investigates potential improvements of the TS algorithm by applying quantum computing mechanics to enhance the se...
متن کاملInteractive Tabu Search vs. Interactive Genetic Algorithm
We propose an interactive tabu search (ITS) to be used for the development support of a product that fits a human’s feeling. Interactive evolutionary computation (IEC) is one of the technologies used in the development support of products that fit a human’s feeling using a computer and person undergoing a communication. The interactive generic algorithm (IGA) is generally used in the IEC. A maj...
متن کاملTabu-KM: A Hybrid Clustering Algorithm Based on Tabu Search Approach
The clustering problem under the criterion of minimum sum of squares is a non-convex and non-linear program, which possesses many locally optimal values, resulting that its solution often falls into these trap and therefore cannot converge to global optima solution. In this paper, an efficient hybrid optimization algorithm is developed for solving this problem, called Tabu-KM. It gathers the ...
متن کاملA Neighborhood Expansion Tabu Search Algorithm Based On Genetic Factors
We provide an improved algorithm called “a neighborhood expansion tabu search algorithm based on genetic factors” (NETS) to solve traveling salesman problem. The algorithm keeps the traditional tabu algorithm’s neighborhood, ensure the algorithm’s strong climbing ability and go to the local optimization. At the same time, introduce the genetic algorithm’s genetic factor (crossover factor and va...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Database Theory and Application
سال: 2015
ISSN: 2005-4270,2005-4270
DOI: 10.14257/ijdta.2015.8.6.03