: Differential evolutionary (DE) mutates solution vectors by the weighted difference of other vectors using arithmetic operations. As these operations cannot be directly extended t...
Jingqiao Zhang, Viswanath Avasarala, Arthur C. San...
Differential evolution (DE) is a simple yet powerful evolutionary algorithm for global numerical optimization. Different strategies have been proposed for the offspring generation...
The choice of which of the available strategies should be used within the Differential Evolution algorithm for a given problem is not trivial, besides being problem-dependent and...
—Over the last two decades, many Differential Evolution (DE) strategies have been introduced for solving Optimization Problems. Due to the variability of the characteristics in o...
Abstract--The constrained optimization with differential evolution (DE) is addressed. A novel variant of competitive differential evolution with a hybridized search of feasibility ...