Since the inception in 1995, Differential Evolution (DE) has gained significant attention from
researchers worldwide, and many DE variants proposed in the last decades obtained …

This paper proposes a novel distributed differential evolution framework called distributed
mixed variants (dynamic) differential evolution (dmvD^ 2 E) dmv D 2 E). This novel …

This paper proposes a novel distributed differential evolution algorithm called Distributed
Mixed Variant Differential Evolution (dmvDE). To alleviate the time consuming trial-and-error …

AutoDock is a widely used automated protein docking program in virtual screening of
structure-based drug design. Several search algorithms such as simulated annealing …

Differential evolution (DE) is a powerful global optimization algorithm which has been
studied intensively by many researchers in the recent years. A number of variants have been …

This paper attempts a preliminary investigation to gain insight about the cooperative
dynamics of mixing the four classical differential evolution (DE) variants viz. DE/rand/1/bin …

While hybridizing the complementary constituent soft computing techniques has displayed
improved efficacy, the hybridization of complementary characteristics of different Differential …

Differential evolution (DE) is a powerful global optimization algorithm which has been
studied intensively by many researchers in recent years. A number of mutation variants have …

Differential Evolution (DE) is a simple but efficient Evolutionary Algorithm (EA) for stochastic
real parameter optimization. With various types of mutation and crossover applicable to DE …

In this paper we derive theoretical expressions to compute expected population variance for
Differential Evolution (DE) variants–DE/best/1/bin, DE/rand/2/bin and DE/best/2/bin by …