The MDL Principle (induction by compression) is applied with meticulous effort in the Krimp algorithm for the problem of itemset mining, where one seeks exceptionally frequent patterns in a binary dataset. As is the case with many algorithms in data mining, Krimp is not designed to cope with real-valued data, and it is not able to handle such data natively. Inspired by Krimp’s success at using ...

in financial matters, portfolio can be interpreted as a combination or a series of investments hold by an institution or a person. portfolio optimization is one of the most important concerns of investors for maximizing the portfolio in financial markets. the formation of portfolio is a vital and critical decision for the companies.  in fact, the selection of portfolio is to specify the capital...

Assembly plays an important role in any production system as it constitutes a significant portion of the lead time and cost of a product. Virtual computer-integrated manufacturing (VCIM) system is a modern production system being conceptually developed to extend the application of traditional computer-integrated manufacturing (CIM) system to global level. Assembly scheduling in VCIM systems is ...

PT. Kemasan Ciptatama Sempurna is a company engaged in manufacturing styrofoam . In the concerned, order system still manual, where process only depends on order. This results less efficient scheduling as evidenced by ineffectiveness of when number orders from various consumers place simultaneously. The method used this study uses Genetic Algorithm approach , choosing it can improve problems so...

clustering is a widespread data analysis and data mining technique in many fields of study such as engineering, medicine, biology and the like. the aim of clustering is to collect data points. in this paper, a cultural algorithm (ca) is presented to optimize partition with n objects into k clusters. the ca is one of the effective methods for searching into the problem space in order to find a n...

In this paper, a quaternion firefly algorithm is utilized to solve a multi-row facility layout design problem with the objective of minimizing the total cost of transportation. A quaternion firefly algorithm takes the motion of the firefly as a quaternion one. Consequently, the solution space is explored more accurately and the answers are of higher quality. That is, the answers are considerabl...

Optimizing the database queries is one of hard research problems. Exhaustive search techniques like dynamic programming is suitable for queries with a few relations, but by increasing the number of relations in query, much use of memory and processing is needed, and the use of these methods is not suitable, so we have to use random and evolutionary methods. The use of evolutionary methods, beca...

background: high-energy ionizing radiation is harmful and changes the genetic makeup of dna, which can lead to increased risk of cancer. thus, the exposure of radiation dose should be under control and limited. ionizing radiation might lead to some chromosome aberrations like dicentric. there is a strong relation between the frequency of dicentric chromosome in metaphase, and the received dose....

Statistics based inference methods like minimum message length (MML) and minimum description length (MDL), are widely applied approaches. They are the tools to use with particular machine learning praxis such as simulated annealing, genetic algorithms, genetic programming, artiicial neural networks, and the like. These methods select the hypothesis which minimizes the sum of the length of the d...

This paper presents a genetic algorithm based approach for solving the thermal generation dispatch with emission constraints. New encoding/decoding techniques are developed in the work. The chromosome contains only an encoding of the normalized system incremental cost. Therefore, the total number of bits of chromosome is entirely independent of the number of units. Moreover, the approach can ta...