Nowadays machine learning (ML), including Artificial Neural Networks (ANN) of different architectures and Support Vector Machines (SVM), provides extremely important tools for intelligent geoand environmental data analysis, processing and visualisation. Machine learning is an important complement to the traditional techniques like geostatistics. This paper presents a review of several contempor...

As many data-driven fields, finance is rich in problems requiring high computational power and intelligent systems techniques. In particular, the problem of selecting an optimal financial portfolio can be conveniently represented as a constrained optimization problem or a decisionmaking problem. The aim of this paper is to show how to express the optimal portfolio selection problem from a decis...

In this work, we give an overview of the DLV Intelligent Grounder, one of the most popular Answer Set Programming instantiators, and a very strong point of the DLV system. Based on a variant of semi-naive evaluation, it also includes several advanced optimization techniques and supports a number of application-oriented features which allow for the successful exploitation of DLV in real-world co...

In this paper, a novel intelligent optimization algorithm Artificial Tribe Algorithm (ATA) is presented based on the analyses of the principle and uniform framework of the Bionic Intelligent Optimization Algorithms (BIOA). ATA simulates the existent skills of the natural tribes, and actualizes the optimization purpose through the propagation and migration behaviors of the tribes. The main facto...

This paper presents the design and modeling of DC/DC boost (step-up) converter for Advanced Intelligent Systems using Matlab/Simulink. The steady-state and average-value models for the proposed converter are developed and simulated. This work offers modeling and simulation techniques to analyze and design for an overall efficiency optimization of standard synchronous and asynchronous boost conv...

The main goal of this paper is to document a comparative study of different computational-fluid-dynamics-based optimization techniques applied to the solution of a three-dimensional wing drag minimization problem. To achieve this objective, three optimization tools were used: SYN107 (Intelligent Aerodynamics International), MDOPT (The Boeing Company), and OPTIMAS (Israel Aerospace Industries). ...