Biologically Inspired Computation toward Management Engineering Applications

Ever since scientists discovered that conventional silicon-based computers have physical upper limits, they have been searching for alternative media with which to solve computational problems. That search has led them, among other places, to deoxyribonucleic acid (DNA). Since Adleman’s pioneering investment, various researches have been made in DNA computing theoretically and experimentally. However, none of any application-based research was found in literature. The aim of this work is to investigate the possibility of bio-soft computing implementing the engineering applications. Three advances were made in my study that can be divided into two parts. In the first part, thermodynamic controlled fixed-length DNA computing algorithms were proposed for two applications, group control optimization and cable trench problem, in two strategic considerations. The fixed-length DNA molecules were used to represent the numerical values where the weights are thermodynamically controlled by DNA melting temperature. Two empirical applications were demonstrated individually and DNA computing approach to engineering applications were shown to be achievable. A novel forecasting technique biologically-inspired is developed in the second part. The historical data were fuzzified and DNA templates that best fit the historical trend were used to forecast the future. Currency exchange rates forecasting were demonstrated in empirical application and experiment results shown our proposed algorithm can outperform the best ARIMA model.