Personal credit scoring on credit cards has been a critical issue in the banking industry. The bank with the most accurate estimation of its customer credit quality will be the most profitable. The study aims to compare quality prediction models from data mining methods, and improve traditional models by using boosting and genetic algorithms (GA). The predicting models used are instant-based cl...

The Traveling Salesman Problem(TSP) is one of the most intensively studied problem in computational mathematics. To solve this problem a number of algorithms have been developed using genetic algorithms. But these algorithms are not so suitable for solving large-scale TSP. This paper proposes a new solution for TSP using hierarchical clustering and genetic algorithm. Keywords— Traveling Salesma...

This paper proposes a new paradigm for solving systems of nonlinear equations through using Genetic Algorithm (GA) techniques. So, a great attention was presented to illustrate how genetic algorithms (GA) techniques can be used in finding the solution of a system described by nonlinear equations. To achieve this purpose, we apply Gauss–Legendre integration as a technique to solve the system of ...

In this paper we discuss the possibilities of applying genetic algorithms (GA) for solving constraint satisfaction problems (CSP). We point out how the greediness of deterministic classical CSP solving techniques can be counterbalanced by the random mechanisms of GAs. We tested our ideas by running experiments on four diierent CSPs: N-queens, graph 3-colouring, the traac lights and the Zebra pr...

The complex effect of genetic algorithm’s (GA) operators and parameters to its performance has been studied extensively by researchers in the past but none studied their interactive effects while the GA is under different problem sizes. In this paper, We present the use of experimental model (1) to investigate whether the genetic operators and their parameters interact to affect the offline per...

This paper looks at the age-old problem of trying to instil some degree of intelligence in computers. Genetic Algorithms (GA) and Genetic Programming (GP) are techniques that are used to evolve a solution to a problem using processes that mimic natural evolution. This paper reflects on the experience gained while conducting research applying GA and GP to two quite different problems: Medical Di...

The main aim of this paper is the interpretation of the existing relationship between real estate rental prices and geographical location of housing units in a central urban area of Naples (Santa Lucia and Riviera of Chiaia neighborhoods). Genetic algorithms (GA) are used for this purpose. Also, to verify the reliability of genetic algorithms for real estate appraisals and, at the same time, to...

In this paper an approach based on evolutionary algorithms to find Pareto optimal pair of state and control for multi-objective optimal control problems (MOOCP)'s is introduced‎. ‎In this approach‎, ‎first a discretized form of the time-control space is considered and then‎, ‎a piecewise linear control and a piecewise linear trajectory are obtained from the discretized time-control space using ...