The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper is aimed at applying genetic algorithm to solve the optimization problem of resources investment ratio in the integrated marketing communications process. In order to achieve benefits optimization, it is advisable to allocate invested resources to various marketing communications. This is a process of optimization decision-making. In the process, to achieve optimal benefits, a parameter...
The clonal selection (CS) algorithm is an optimization algorithm based upon the clonal selection principle in the biological immune system. This paper presents a novel approach that uses CS algorithm for path-oriented test data generation. The approach takes a selected path as a target and executes sequences of operators iteratively for test case to generate. An affinity function which is made up...
K-anonymization implemented by microaggregation is a special clustering problem with minimum cardinality constraint, which has been proved to be an NP-hard combinatorial optimization problem. The existing heuristic microaggregation algorithms search the solutions in a limited solution space, so can only get local optimal solutions. The paper proposes an ICSMA (immune clonal selection microaggregation...
The problem of placing a number of specific shapes in order to minimise waste is commonly encountered in the sheet metal, clothing and shoe-making industries. The paper presents genetic algorithm coding methodologies for the leather nesting problem which involves cutting shoe upper components from hides so as to maximise material utilisation. Algorithmic methods for computer-aided nesting can be either...
Current techniques for the optimisation of combustion engine gas-exchange systems still predominantly use trial and error. This paper proposes a new method for the optimisation of these systems through the use of modified Genetic Algorithm techniques, principally a variable length chromosome encoding. Promising initial results are presented and discussed.
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.