Fact Gathering means generating rule base from available numerical data or data base. The intelligence of a fuzzy system lies in its rule base. Generating rule base is one of the most important and difficult tasks when designing fuzzy systems. Various rule base generation methods are used such as Neural networks, genetic algorithms, biogeography based optimization approach, ant colony optimizat...

P. ARAVINDHABABU Professor of Electrical Engineering, Annamalai University, Annamalainagar-608002, Tamil Nadu, India [email protected] Abstract The dynamic economic emission dispatch (DEED) presumes a lot of significance to meet the clean energy requirements of the society and simultaneously minimizes the cost of generation. The biogeography based optimization (BBO), inspired from...

Biogeography-based optimization (BBO) is an evolutionary algorithm that is inspired by nature. Because of its good performance relative to other evolutionary algorithms, it has become a popular algorithm for many different applications. Also, it has been modified in several ways to accommodate various types of problems. BBO for complex systems (BBO/Complex) is a recently-developed variation of ...

In this paper, quasi-oppositional biogeography based-optimization (QOBBO) for optimal reactive power dispatch (ORPD) is presented. The proposed methodology determines control variable settings such as generator terminal voltages, tap positions of the regulating transformer and the Var injection of the shunts compensator, for real power loss minimization in the transmission system. The algorithm...

Cloud computing depends on sharing of assets to accomplish intelligibility and economies of scale, like a utility over a network. In this various types of job scheduling and load balancing approaches has been used for this purpose. Various tasks on cloud have to be allocated to different resources for prevention of slow computation process at cloud. In the previous work various algorithms and o...

Independent component analysis (ICA) is a signal processing technique that can be used to extract meaningful components from a dataset. Biogeography based optimization (BBO) algorithm is a recently developed stochastic optimization algorithm. In this paper, we report the use of the BBO algorithm to optimize a contrast function that measures the statistical independence of the recovered componen...

Biogeography-based optimization (BBO) is an evolutionary optimization algorithm that uses migration to share information among candidate solutions. One limitation of BBO is that it changes only one independent variable at a time in each candidate solution. In this paper, a linearized version of BBO, called LBBO, is proposed to reduce rotational variance. The proposed method is combined with per...