Abstract Text classification is one of the important technologies in field text data mining. Feature selection, as a key step processing tasks, used to process high-dimensional feature sets, which directly affects final performance. At present, most widely selection methods academia are calculate importance each for through an evaluation function, and then select subsets that meet quantitative ...

This paper presented a parallel hybrid electric vehicle (HEV) equipped with a hybrid energy storage system. To handle complex energy flow in the powertrain system of this HEV, a fuzzy-based energy management strategy was established. A chaotic multi-objective genetic algorithm, which optimizes the parameters of fuzzy membership functions, was also proposed to improve fuel economy and HC, CO, an...

Chaos is embedded to the he Charged System Search (CSS) to solve practical optimization problems. To improve the ability of global search, different chaotic maps are introduced and three chaotic-CSS methods are developed. A comparison of these variants and the standard CSS demonstrates the superiority and suitability of the selected variants for practical civil optimization problems.

Evolutionary Algorithms (EAs) are stochastic and robust meta-heuristics of evolutionary computation field useful to solve optimization problems in image processing applications. Recently, as special mechanism to avoid being trapped in local minimum, the ergodicity property of chaotic sequences has been used in various designs of EAs. Three differential evolution approaches based on chaotic sequ...

In this study, we consider a switching strategy that yields stable desirable dynamic behaviour when it is applied alternatively between two undesirable dynamical systems. From the last few years, systems employed “chaos1 + chaos2 = order” and “order1 order2 chaos” (vice-versa) to control anti of chaotic situations. To find parameter values for these kind alternating situations, comparison being...