Differential Evolution (DE) is arguably one of the most powerful and versatile evolutionary
optimizers for the continuous parameter spaces in recent times. Almost 5 years have passed …

The rational design of high-performance catalysts is hindered by the lack of knowledge of
the structures of active sites and the reaction pathways under reaction conditions, which can …

Global optimization of cluster geometries is of fundamental importance in chemistry and an
interesting problem in applied mathematics. In this work, we introduce a relatively new …

Two-dimensional (2D) semiconductors can be very useful for novel electronic and
optoelectronic applications because of their good material properties. However, all current …

Chemical clusters are relevant to many applications in catalysis, separations, materials, and
energy sciences. Experimentally, the structure of clusters is difficult to determine, but it is …

Global optimization constitutes an important and fundamental problem in theoretical studies
in many chemical fields, such as catalysis, materials, or separations problems. In this paper …

This paper presents an approach where differential evolution is applied to underwater glider
path planning. The objective of a glider is to reach a target location and gather research data …

This paper presents an approach for tackling constrained underwater glider path planning
(UGPP), where the feasible path area is defined as a corridor around the border of an ocean …

Inverse design is a promising approach in the realm of material science for finding structures
with desired property. We developed a new package with novel algorithm for inverse design …

Mixed-variable optimization problems (MVOPs) that involve continuous and discrete
decision variables widely exist in industrial and scientific domains. However, how to solve …