Intelligent systems have appeared in many technical areas, such as consumer electronics,
robotics and industrial control systems. Many of these intelligent systems are based on fuzzy …

Genetic algorithms (GAs) are a heuristic search and optimisation technique inspired by
natural evolution. They have been successfully applied to a wide range of real-world …

Two parameters, C and σ, must be carefully predetermined in establishing an efficient
support vector machine (SVM) model. Therefore, the purpose of this study is to develop a …

This study developed a novel model, HGA-SVR, for type of kernel function and kernel
parameter value optimization in support vector regression (SVR), which is then applied to …

In order to effectively model crude oil spot price with inherently high complexity, a hybrid
learning paradigm integrating least squares support vector regression (LSSVR) with a …

The main objectives of cancer treatment in general, and of cancer chemotherapy in
particular, are to eradicate the tumour and to prolong the patient survival time. Traditionally …

A methodology using heuristic search methods is proposed for optimizing cancer
chemotherapies with drugs acting on a specific phase of the cell cycle. Specifically, two …

This paper presents a methodology for using heuristic search methods to optimise cancer
chemotherapy. Specifically, two evolutionary algorithms-Population Based Incremental …

This study develops a novel model, GA-SVR, for parameters optimization in support vector
regression and implements this new model in a problem forecasting maximum electrical …

Cancer chemotherapy is a complex treatment mode that requires balancing the benefits of
treating tumours using anti-cancer drugs with the adverse toxic side-effects caused by these …