Fast convergent biogeography based optimization algorithm
Priya Sharma, HARISH KUMAR SHARMA, Nirmala Sharma · 2016
Biogeography Based Optimization (BBO) Algorithm is a stochastic and population-based evolutionary search technique modeled on the theory of biogeography. Like other population-based evolutionary algorithms, BBO also suffers from the problem of slow convergence. Therefore, in this article, a new variant of BBO algorithm is introduced, namely Fast Convergent Biogeography based Optimization (FCBBO) Algorithm. In the proposed algorithm, a fitness based position update process is introduced. In the proposed fitness based process, step size of the solutions are controlled through a probability which is a function of fitness. Further, Mutualism-relationship is introduced in migration process which modifies individuals by evaluating the difference among the finest solution and the mean of two random individuals. This modification helps to improve the exploration capability of the proposed algorithm. The developed algorithm compared with BBO and two other algorithms, namely Differential Evolution (DE) Algorithm and Particle Swarm Optimization (PSO) Algorithm with the experiments over 12 test problems. Obtained results confirm the competitive performance of the proposed algorithm.