Despite the wide application of evolutionary computation (EC) techniques to rule discovery
in stock algorithmic trading (AT), a comprehensive literature review on this topic is …

Abstract Evolutionary Fuzzy Systems are a successful hybridization between fuzzy systems
and Evolutionary Algorithms. They integrate both the management of imprecision …

Fast fashion is a commonly adopted strategy in fashion retailing. Under fast fashion,
operational decisions have to be made with a tight schedule and the corresponding …

With the development of artificial intelligence, deep learning is widely used in the field of
nonlinear time series forecasting. It is proved in practice that deep learning models have …

Several models have been presented to solve the financial time series forecasting problem.
However, even with sophisticated techniques, a dilemma arises from all these models …

Social sentiment reflects grassroots views regarding stock trends and has played a leading
role in stock movements. Previous studies have relied predominantly on statistical models …

Time series forecasting (TSF) consists on estimating models to predict future values based
on previously observed values of time series, and it can be applied to solve many real-world …

Abstract This paper presents Fuzzy Time Series (FTS) forecasting technique using Hidden
Markov Model (HMM) optimized by Particle Swarm Optimization (PSO) and Genetic …

Lithographic limitations and manufacturing uncertainties are resulting in fabricated shapes
on wafer that are topologically equivalent, but geometrically different from the corresponding …

Forecasting the financial time series had been a difficult endeavor for both academia and
businesses. Advances of the financial time series forecasting had moved from traditional …