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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...
Biogeography Based Optimization (BBO) algorithm is a population based evolutionary optimization algorithm modeled on the theory of biogeography. Like other evolutionary algorithms, BBO also suffers from the problem of slow convergence. To improve the convergence property of the algorithm, global best solution inspired search strategy is incorporated with BBO. The modified strategy is named as global-best...
Differential Evolution (DE) is a popular and simple to implement population based stochastic evolutionary algorithm which is used to solve complex optimization problems. In DE, the variation in solutions during the solution search process is controlled by two significant control parameters, namely scale factor (F) and crossover probability (CR). These parameters play important role for balancing the...
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