A Cultivated Differential Evolution Variant for Molecular Potential Energy Problem
Pooja Pooja, Praveena Chaturvedi, Pravesh Kumar · Procedia Computer Science · 2015
Differential Evolution (DE) algorithms are known to as robust, effective and highly efficient for solving the global optimization problems. In the present study, a modified variant of Differential Evolution (DE) is proposed in the present study, named Cultivated Differential Evolution (CuDE) which is different from basic DE in the selection of the base vector for mutation operation and population generation for next generation. The performance of the proposed algorithm is validated on six benchmark problems taken from literature and a real time molecular potential energy problem. The numerical results show that the proposed algorithm helps in formulating a better trade-off between convergence rate and efficiency.