Recently, Artificial Intelligence (AI) technology has been applied to many applications. As an extension of Genetic Algorithm (GA) and Genetic Programming (GP), Genetic Network Programming (GNP) has been proposed, whose gene is constructed by directed graphs. GNP can perform a global searching, but its evolving speed is not so high and its optimal solution is hard to obtain in some cases becaus...

This work introduces an extension to Genetic Programming (GP), known as “GP-UDF” which uses multiple User-Defined Functions (UDFs) to solve surface mapping problems. UDFs are high level primitives, such as polynomials and Gaussian hills, which simplify mapping and aid human interpretation of GP results. Preliminary results show that although UDFs do not improve GP accuracy, they may aid in “lan...

In this paper, a hybrid model which combines Extended Kalman Filter (EKF) and Genetic Programming (GP) for forecasting of water demand in Tehran is developed. The initial goal of the current work is forecasting monthly water demand using GP for achieving an explicit optimum formula. In the proposed model, the EKF is applied to infer latent variables in order to make a forecasting based on GP re...

This chapter introduces the concept of Genetic Programming (GP) and its application to the “growth” of an artificial embryo. Genetic Programming (GP) is the application of the Genetic Algorithm [5,6] to building (evolving) functional systems which are too complex in their dynamics or their interactions to be prespecified or analyzed in detail. Such systems can be built, but (probably) not under...

The need to mass produce electronic components such as computer chips in early 70’s generated demand for production facilities that were flexible to switch from one type of product to the next with relative ease. Automation played an important role in speeding the machine set ups, machine loading, and processing time. While electronic industry has epitomized the need for such automated manufact...

Human genetics is undergoing an information explosion. The availability of chip-based technology facilitates the measurement of thousands of DNA sequence variation from across the human genome. The challenge is to sift through these high-dimensional datasets to identify combinations of interacting DNA sequence variations that are predictive of common diseases. The goal of this paper was to deve...

As the non-playable characters (NPCs) of squad-based shooter computer games share a common goal, they should work together in teams and display cooperative behaviours that are tactically sound. Our research examines genetic programming (GP) as a technique to automatically develop effective team behaviours for shooter games. GP has been used to evolve teams capable of defeating a single powerful...

Probabilistic incremental program evolution (PIPE) is a novel technique for automatic program synthesis. We combine probability vector coding of program instructions, population-based incremental learning, and tree-coded programs like those used in some variants of genetic programming (GP). PIPE iteratively generates successive populations of functional programs according to an adaptive probabi...

in this paper the issue of evaluating iranian oil refineries performance has been discussed. the research is based on math modelling by operational research techniques. to do so, of the proposed scenarios and different math programming models, a model is made by combining dea with goal programming techniques that compared with the old classical dea models which measures the efficiency and produ...

One of the strategies a company uses to retain its customers is Customer Relationship Management (CRM). CRM manages interactions and supports business build mutually beneficial relationships between companies customers. The utilization information technology, such as data mining used manage data, critical in order be able find out patterns made by when processing transactions. Clustering techni...