A set of experiments is described which use Genetic Algorithms (GAs) to find the synthesizer parameters required to synthesize a target sound. Comparisons between the target and candidate sounds (for the algorithms’ fitness functions) are calculated via a mapping from the sound data to a set of timbral, perceptual, and statistical sound attributes, many of which have been used in recent machine...

Reducing building energy demand is a crucial part of the global response to climate change, and evolutionary algorithms (EAs) coupled to building performance simulation (BPS) are an increasingly popular tool for this task. Further uptake of EAs in this industry is hindered by BPS being computationally intensive: optimisation runs taking days or longer are impractical in a time-competitive envir...

iran’s culture is changing, and by these changes preference of fit body usually thin body is growing up among women. paying too much attention to fitness is the result of a consumer society, and to reach fitness and to have acceptable body size, women try different ways such as body building, aerobic, etc. so the current study aims to explore the social factors related with women’s tendency tow...

Most of data in a multi-attribute decision making (MADM) problem are unstable and changeable, then sensitivity analysis after problem solving can effectively contribute to making accurate decisions. This paper provides a new method for sensitivity analysis of MADM problems so that by using it and changing the weights of attributes, one can determine changes in the final results of a decision ma...

One of the existing problems of multi-attribute process monitoring is the occurrence of high number of false alarms (Type I error). Another problem is an increase in the probability of not detecting defects when the process is monitored by a set of independent uni-attribute control charts. In this paper, we address both of these problems and consider monitoring correlated multi-attributes proce...