In this paper, we discuss the portfolio selection problem with transaction costs under the assumption that there exist admissible errors on expected returns and risks of assets. We propose a new admissible efficient portfolio selection model and design an improved particle swarm optimization...

This paper investigates the search dynamics of a fundamental particle swarm optimization (PSO) algorithm via gathering and analyzing the data of the search area during the optimization process. The PSO algorithm exhibits a distinct performance when optimizing different functions, which induces...

By applying the evolutionary algorithm of Particle Swarm Optimization (PSO), we have developed a new pedestrian evacuation model. In the new model, we first introduce the local pedestrian’s density concept which is defined as the number of pedestrians distributed in a certain area divided by...

The electricity market has been widely introduced in many countries all over the world and the study on electricity price forecast technology has drawn a lot of attention. In this paper, with different parameter Ci and εi assigned to each training data, the flexible Ci Support Vector Regression...

A modified particle swarm optimization algorithm is proposed in this paper to investigate the dynamic of pedestrian evacuation from a fire in a public building—a supermarket with multiple exits and configurations of counters. Two distinctive evacuation behaviours featured by the shortest-path...

With the rapid development of the Internet, we have entered an era of information explosion. In this kind of situation, recommender systems appear. It is meaningful that recommender systems help people to get useful and valuable items from massive data (e.g. movies, music, books, jokes). The...