Stardockfences5.04 Multi

This book presents a collection of papers under the theme of multi-hazard early warning and disaster risks. These were selected from the presentations made at the International Symposium on Tsunami and Multi-Hazard Risks, Early Warning and Community Awareness in supporting implementation of the Sendai Framework for Disaster Risk Reduction 2015-2030. This conference aimed to recognize achievements and to highlight work that still needs to be carried out. The conference promoted collaboration among academia, research institutions and disaster management offices, and further encouraged multidisciplinary and multi-sectoral interaction.

This book is focused on the challenges of digital transition in building construction, and potential solutions through the use of multi-criteria analysis. It provides clear explanations of proposed approaches from both a theoretical and practical point of view, including augmented reality and user-reporting.

The book systematically introduces the design theory and method of multi-band RF filtering circuits for the modern wireless communication systems or radar systems, which are required to operate at multi-bands. These multi-band filtering RF circuits have drawn more and more attention from the engineers and scientists in the field of RF circuits design. The book proposes the detailed theoretical analysis and abundant experimental data of multi-mode resonators, multi-band bandpass filter with high selectivity, reflectionless multi-band bandpass filter, balanced filter with high suppression, slotline based multi-band balun filter, switchable filtering diplexer based on reused L-shape resonator and miniaturized 55-/95-GHz on-chip dual-band bandpass Filter.

Many complex aeronautical design problems can be formulated with efficient multi-objective evolutionary optimization methods and game strategies.

This book presents an overview of archiving strategies developed over the last years by the authors that deal with suitable approximations of the sets of optimal and nearly optimal solutions of multi-objective optimization problems by means of stochastic search algorithms. All presented archivers are analyzed with respect to the approximation qualities of the limit archives that they generate and the upper bounds of the archive sizes.

This book brings together the latest findings on efficient solutions of multi/many-objective optimization problems from the leading researchers in the field. The focus is on solving real-world optimization problems using strategies ranging from evolutionary to hybrid frameworks, and involving various computation platforms.