The channel allocation problem consists in defining the frequency used by Access Points (APs) in Wireless Local Area Networks (WLAN). An overlap of channels in a WLAN is the major factor of performance reduction for the users in a network. For this reason, we propose a new model for channel allocation that aims to maximize the total quality of the connection of the user by considering their marginal utility. The results show that an allocation model that does not take into account the total utility of each connection tends to prioritize the quality of connection of a few users and lead to a large unbalance in the distribution of connection speed between users. Thus, the new model can handle the importance of degradation caused by the levels of interference in the user connection separately.
One of the greatest problems when using genetic algorithms to evolve melodies is creating an aesthetically conscious measure of fitness. In this paper, we describe a new approach with a minimum measure of fitness in which a set of good individuals is returned at the end of the process. Details about the implementation of a population of measures and some genetic operators are described in this work before an implicit way to evaluate fitness is given. We define a Takeover Matrix to measure the relationship between different generations and its compromise between originality and diversity. By means of this Takeover Matrix, the evolutionary process itself can be used as a criterion instead of using only ordinary individual measures of fitness. The results show the implications of using the proposed approach and demonstrate that the proposed algorithm is able to generate good sets of melodies. The algorithm can be used not only for developing new ideas but also to extend earlier created melodies with influence from the initial population.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.