Genetic algorithms are on the rise in electromagnetics as design tools and problem solvers
because of their versatility and ability to optimize in complex multimodal search spaces. This …

CSC535: Probabilistic Graphical Models Page 1 CSC380: Principles of Data Science
Introduction to Machine Learning Prof. Jason Pacheco TA: Enfa Rose George TA: Saiful Islam …

Multireservoir operating policies are usually defined by rules that specify either individual
reservoir desired (target) storage volumes or desired (target) releases based on the time of …

Does machine learning really work? Yes. Over the past decade, machine learning has
evolved from a field of laboratory demonstrations to a field of significant commercial value …

We evaluate Sewall Wright's three‐phase “shifting balance” theory of evolution, examining
both the theoretical issues and the relevant data from nature and the laboratory. We …

Publisher Summary This chapter integrates the two different areas of extensive human
leukocyte antigen (HLA) research: first, the association between peptides and HLA class II …

Plant diseases are major constraints to plant growth and development (Table 3.1), resulting
in crop losses greater than those caused by insects and weeds combined (Agrios 1988) …

The advantages of group living are not shared equally among all group members and these
advantages may depend on the spatial position occupied by a forager within the group. For …

The hok/sok system of plasmid R1 mediates plasmid maintenance by killing of plasmid-free
cells. Translation of the stable toxin-encoding hok mRNA is repressed by the unstable Sok …

Synoptic Abstract Experimental design and response surface methodology is applied to
tuning the parameters of an optimization program employing genetic algorithms. Attention is …