International Journal of Intelligent Computing and Cybernetics: Volume 12 Issue 2

A hybrid genetic algorithm for multi-objective flexible job shop scheduling problem considering transportation time

Xiabao Huang, Lixi Yang

Flexible job-shop scheduling is significant for different manufacturing industries nowadays. Moreover, consideration of transportation time during scheduling makes it more…

Application of quasi-oppositional symbiotic organisms search based extreme learning machine for stock market prediction

Smita Rath, Binod Kumar Sahu, Manoj Ranjan Nayak

Forecasting of stock indices is a challenging issue because stock data are dynamic, non-linear and uncertain in nature. Selection of an accurate forecasting model is very much…

Universal usability evaluation by using an integrated fuzzy multi criteria decision making approach

Gülin Feryal Can, Seda Demirok

The purpose of this paper is to propose an integrated fuzzy approach to determine important universal usability problems (UUPs) by providing experts who behave like real users and…

On the development of cat swarm metaheuristic using distributed learning strategies and the applications

Usha Manasi Mohapatra, Babita Majhi, Alok Kumar Jagadev

The purpose of this paper is to propose distributed learning-based three different metaheuristic algorithms for the identification of nonlinear systems. The proposed algorithms…

Trajectory tracking control of robotic transcranial magnetic stimulation

Zecai Lin, Xin Wang, Jian Yang

Transcranial magnetic stimulation (TMS) is a non-invasive brain stimulation technique. Based on the unique functions of TMS, it has been widely used in clinical, scientific…

Influence of time delay on weighted pseudo-almost periodic dynamics in SICNNs

Changjin Xu, Maoxin Liao, Peiluan Li

The purpose of this paper is to investigate the weighted pseudo-almost periodic solutions of shunting inhibitory cellular neural networks (SICNNs) with time-varying delays and…

LSTM based prediction algorithm and abnormal change detection for temperature in aerospace gyroscope shell

Haoqiang Shi, Shaolin Hu, Jiaxu Zhang

Abnormal changes in temperature directly affect the stability and reliability of a gyroscope. Predicting the temperature and detecting the abnormal change is great value for…

Clustering in the presence of side information: a non-linear approach

Ahmad Ali Abin

Constrained clustering is an important recent development in clustering literature. The goal of an algorithm in constrained clustering research is to improve the quality of…