Creating a musical fitness function is largely subjective and can be critically affected by the designer’s biases. Previous attempts to create such functions for use in genetic algorithms lack scope or are prejudiced to a certain genre of music. They also are limited to producing music strictly in the style determined by the programmer. We show in this paper that musical feature extractors, whi...

Petro physics, rock physics and multi-attribute analysis have been employed in an integrated approach to delineate porosity variation across Tamag Field of Niger Delta Basin. Gamma and resistivity logs were employed to identify sand bodies and correlated across the field. Petro physical analysis was undertaken. Rock physics modelling and multi-attribute analysis were carried out. Two hydrocarbo...

For data mining, reducing the unnecessary redundant attributes which was known as attribute reduction (AR), in particular, reducts with minimal cardinality, is an important preprocessing step. In the paper, by a coding method of combination subset of attributes set, a novel search strategy for minimal attribute reduction based on rough set theory (RST) and fish swarm algorithm (FSA) is proposed...

Auctions are a fundamental mechanism to automating negotiations in electronic commerce. We investigate multi-attribute auctions, an economic mechanism, which automates negotiation on multiple attributes of a deal. In this approach, we combine decision analysis techniques and single-sided auction mechanisms in order to procure goods and services. The paper describes an experimental analysis of m...

insurance companies are important economic institutions in each country and support other economic institutions and good performance of them has an effective role in economic boom. insurance companies to achieve strong and effective performance must be aware of the environment, the competitor and their performance and carry out necessary actions with regard to this information. in this study, t...

Co-evolutionary algorithms are a special type of evolutionary algorithms, in which the fitness of each individual depends on other individuals’ fitness. Such algorithms are applicable in the case of problems for which the formulation of explicit fitness function is difficult or impossible. Co-evolutionary algorithms also maintain population diversity better than “classical” evolutionary algorit...

This paper presents multi-attribute decision making based on rough accuracy score function with rough neutrosophic attribute values. While the concept of neutrosophic sets is a powerful logic to handle indeterminate and inconsistent information, the theory of rough neutrosophic sets is also a powerful mathematical tool to deal with incompleteness. The rating of all alternatives is expressed wit...

Differential evolution (DE) algorithm is applied to the design of single-layer and multi-layer microstrip antennas. For the design of single-layer co-axial probe-fed microstrip antenna, fitness function is obtained from cavity model theory of microstrip antenna, whereas for the design of multi-layer aperture-coupled microstrip antenna, transmission line model is used to obtain fitness function ...

A compact microstrip-fed antenna with dual notched bands is proposed. First, a simple basic configuration is presented for Ultra Wide Band (UWB) applications and then the dual band notched structure is extended from the UWB one. The basic structure of the UWB antenna consists of a simple square radiating patch and a ground plane with a wide square slot on back of the substrate. A semi-circle sh...