AI-Assisted Design & Optimization for Predictive Maintenance: A Case Study using Deep Learning and Search Metaheuristics for Structural Health Monitoring in Aviation

One of the classical solutions to maintain the aircraft structural integrity is to rely on the analysis of non-destructive testing (NDT) inspector with various inspection methods. However, it is relatively expensive in matter of time and costs to train human resources until the certification is reached. Further, in majority of the cases of...

HOPCA: Hospital Layout Design Optimization using Computational Architecture

Hospitals are known as functionally complex buildings in various ways, namely due to their non-trivial spatial connectivity requirements. A spatial configuration has an impact on human behavior, human movement patterns and should match with the operational logic of the buildings. In hospitals, there are several typical problems that can be...

The perils and pitfalls of explainable AI: Strategies for explaining algorithmic decision-making

Governments look at explainable artificial intelligence's (XAI) potential to tackle the criticisms of the opaqueness of algorithmic decision-making with AI. Although XAI is appealing as a solution for automated decisions, the wicked nature of the challenges governments face complicates the use of XAI. Wickedness means that the facts that define...

Architectural Design Performance Through Computational Intelligence: A Comprehensive Decision Support Framework

Identification of design solutions for a built environment that caters to the human needs at all levels, and more specifically, to the needs of the clients and the society, is the main task addressed by architectural design. Architectural design is a prime example of a design task that is characterized by a high degree of complexity....

Hybrid Intelligence in Architectural Robotic Materialization (HI-ARM): Computational, Fabrication and Material Intelligence for Multi-Mode Robotic Production of Multi-Scale and Multi-Material Systems

With increasing advancements in information and manufacturing technologies, there is an ever‑growing need for innovative integration and application of computational design and robotic fabrication in architecture. Hybrid Intelligence in Architectural Robotic Materialization (HI-ARM) provides methods and frameworks that target this need. HI-ARM...

Constructive generation methods for dungeons and levels

This chapter addresses a specific type of game content, the dungeon, and a number of commonly used methods for generating such content. These methods are all “constructive”, meaning that they run in fixed (usually short) time, and do not evaluate their output in order to re-generate it. Most of these methods are also relatively simple to...

Predicting Storm Surges: Chaos, Computational Intelligence, Data Assimilation, Ensembles

Accurate predictions of storm surge are of importance in many coastal areas. This book focuses on data-driven modelling using methods of nonlinear dynamics and chaos theory for predicting storm surges. A number of new enhancements are presented: phase space dimensionality reduction, incomplete time series, phase error correction, finding true...

Exchange Rate Prediction using Support Vector Machines: A comparison with Artificial Neural Networks

Financial forecasting in general, and exchange rate prediction in particular, is an issue of much interest to both academic and economic communities. Being able to accurately forecast exchange rate movements provides considerable benefits to both firms and investors. This research aims to propose a decision support aid to these firms and...

Computational Intelligence in Rainfall-Runoff Modeling

The transformation from precipitation over a river basin to river streamflow is the result of many interacting processes which manifest themselves at various scales of time and space. The resulting complexity of hydrological systems, and the difficulty to properly and quantitatively express the information that is available about them, determine...

Intelligent Design Objects (IDO): A cognitive approach for performance-based design

Design is complex. This is because it involves conflicting goals that are often vague. Also, prior to the design it is generally not clear how important goals are relative to each other. And finally the amount of possible solutions is large in general. These bottlenecks are addressed in this thesis. A novel approach for design is proposed, where...

Facial expression analysis by computational intelligence techniques

Computational Intelligence. Mortality Models for the Actuary

This thesis applies computational intelligence to the field of actuarial (insurance) science. In particular, this thesis deals with life insurance where mortality modelling is important. Actuaries use ancient models (mortality laws) from the nineteenth century, for example Gompertz' and Makeham's law of mortality, to calculate lump sums and...