Assessment of building performance using computational intelligence: Focus on the disabled and elderly

The care for the elderly and people with disability increasingly demand more ingenuity to undertake, especially as it relates to the built environment. The impact of the physical environment on health has been widely documented. The knowledge of the special needs/preferences of this vulnerable group of users (people suffering from Alzheimer,...

A cognitive system based on fuzzy information processing and multi-objective evolutionary algorithm

A cognitive system is presented, which is based on coupling a multi-objective evolutionary algorithm with a fuzzy information processing system. The aim of the system is to identify optimal solutions for multiple criteria that involve linguistic concepts, and to systematically identify a most suitable solution among the alternatives. The...

Multi-objective optimization in the construction industry

Multi-objective-optimization-based positioning of houses in a residential neighborhood is described. The task is the placement of the buildings in a favorable configuration constrained by two objectives, which are garden performance and visual privacy performance requirements. The method used is evolutionary computation with the Pareto front...

Performance-based Pareto optimal design

A novel approach for performance-based design is presented, where Pareto optimality is pursued. Design requirements may contain linguistic information, which is difficult to bring into computation or make consistent their impartial estimations from case to case. Fuzzy logic and soft computing are the essential means to deal with this matter. In...

Knowledge modeling for performance measurement of built environment

Towards computer-based perception by modeling visual perception: A probalistic theory

Studies on computer-based perception by vision modelling are described. The visual perception is mathematically modelled where the model receives and interprets visual data from the environment. The perception is defined in probabilistic terms so that it is in the same way quantified. Human visual perception mimicked by means of a computer is an...

Fusion of perceptions for perceptual robotics

Fusion of perception information for perceptual robotics is described. The visual perception is mathematically modelled as a probabilistic process obtaining and interpreting visual data from an environment. The visual data is processed in a multiresolutional form via wavelet transform and optimally estimated via extended Kalman filtering in each...

The analytical hierarchy process applied for design analysis

Being an intelligent activity, design is a complex process to accomplish. The complexity stems from the elusive character of this activity, which cannot be explained in precise terms, in general. In a design process, the determined relationships among the design elements provide important information to understand the role of each element with...

The analytical hierarchy process applied for design analysis

Being an intelligent activity, design is a complex process to accomplish. The complexity stems from the elusive character of this activity, which cannot be explained in precise terms, in general. In a design process, the determined relationships among the design elements provide important information to understand the role of each element with...

Intelligent design support

On the classification enhancement of radial basis function networks

Artificial neural networks are powerfultools for analysing information expressed as data sets, which contain complex nonlinear relationships to be identified and classified. In particular radial basis function (RBF) neural networks have outstanding features for this. However, due to far reaching implications of the basis functions in the...

Soft Computing in Construction Information Technology

The last decade, civil engineering has exercised a rapidly growing interest in the application of neurally inspired computing techniques. The motive for this interest was the promises of certain information processing characteristics, which are similar to some extend, to those of human brain. The immediate examples of these include an ability to...

Quantifying the Qualitative Design Aspects

RBF networks with mixed radial basis functions

After the introduction to neural network technology as multivariable function approximation, radial basis function (RBF) networks have been studied in many different aspects in recent years. From the theoretical viewpoint, approximation and uniqueness of the interpolation is studied and it has been established that RBF network can approximate...

Multi-objective design for space layout topology