Stochastic Global Optimization Methods And Applications to Chemical, Biochemical, Pharmaceutical And Environmental Processes

As optimization researchers tackle larger and larger problems, scale interactions play an increasingly important role. One general strategy for dealing with a large or difficult problem is to partition it into smaller ones, which are hopefully much easier to solve, and then work backwards towards the solution of original problem, using a solution from a previous level as a starting guess at the next level. This volume contains 22 chapters highlighting some recent research.

This book has been designed as a methodological guide and shows the interests and limitations of different statistical methods to analyze data from experimental networks and to perform meta-analyses. It is intended for engineers, students and researchers involved in data analysis in agronomy and environmental science.

This book examines the issues of natural hazards (e.g., typhoons, landslides, wildfires), anthropogenic activities (construction of artificial dams, the operation of nuclear power plants), and their potential risks to the environment and/or quality of life at various scales, from local to regional and even at a global level.

This book constitutes the refereed proceedings of the 32nd IFIP WG 6.1 International Conference on Testing Software and Systems, ICTSS 2020, which was supposed to be held in Naples, Italy, in December 2020, but was held virtually due to the COVID-19 pandemic.