Finding the optimal solution to a complex optimization problem is of great importance in
many fields, ranging from protein structure prediction to the design of microprocessor …

Modeling of heterogeneous materials and media is a problem of fundamental importance to
a wide variety of phenomena with applications to many disciplines, ranging from condensed …

Nature-Inspired Optimization Algorithms, Second Edition provides an introduction to all
major nature-inspired algorithms for optimization. The book's unified approach, balancing …

Swarm intelligence is a kind of artificial intelligence that is based on the collective behavior
of the decentralized and self-organized systems. This work focuses on reviewing a heuristic …

This paper reports on an algorithm for automatic, targetless, extrinsic calibration of a lidar
and optical camera system based upon the maximization of mutual information between the …

Thoroughly revised for its second edition, this advanced textbook provides an introduction to
the basic methods of computational physics, and an overview of progress in several areas of …

We propose a novel variation to biogeography-based optimization (BBO), which is an
evolutionary algorithm (EA) developed for global optimization. The new algorithm employs …

We present the graph-based molecule software Molassembler for building organic and
inorganic molecules. Molassembler provides algorithms for the construction of molecules …

We develop and test new machine learning strategies for accelerating molecular crystal
structure ranking and crystal property prediction using tools from geometric deep learning on …

We introduce a novel heuristic global optimization method, energy landscape paving (ELP),
which combines core ideas from energy surface deformation and tabu search. In appropriate …