Abstract
Interactive evolutionary computation applications are applications where users are involved in the evolution process replacing the fitness function. In such applications the user generally evaluates subjectively information of the population in large quantities. One of the main problems for these applications is the user fatigue problems, these problems can be caused by different reasons. For example not having friendly interfaces for the evaluation, evaluating large amounts of individuals without any user interest. Have individuals not representing the interest of the user, could be because the interactive algorithm is not generating good individuals in the population. Which leads us to believe that the fitness function strategy may be the key to generating better individuals that capture the interest of users in these applications. In this paper we present a strategy for a fitness expression using fuzzy logic considering the preferences that users have over the individuals of the population, as well as the activities to be performing to interact with the application.
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Romero, J.C., García-Valdez, M. (2015). A Fitness Estimation Strategy for Web Based Interactive Evolutionary Applications Considering User Preferences and Activities Using Fuzzy Logic. In: Melin, P., Castillo, O., Kacprzyk, J. (eds) Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization. Studies in Computational Intelligence, vol 601. Springer, Cham. https://doi.org/10.1007/978-3-319-17747-2_39
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DOI: https://doi.org/10.1007/978-3-319-17747-2_39
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