A genetic algorithm-based feature selection framework optimized for medical diagnosis datasets. This project implements a multi-objective optimization approach that maximizes classification accuracy ...
Image segmentation is the process of partitioning a digital image into multiple segments (sets of pixels). The goal of segmentation is to simplify and/or change the representation of an image into ...
This is a preview. Log in through your library . Abstract This paper discusses the use of a Multi-Objective Genetic Algorithm to optimize a technology portfolio for a commercial transport. When ...
Abstract: This paper introduces a sensor-based approach for finding an optimized solution for online coverage path planning problem. Compared to traditional approaches we can augment. Multi-objective ...
Abstract: The maritime transportation is integral to global economic activity. However, the increased frequency of maritime operations heightens the risk of accidents, exacerbated by unpredictable ...
In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...
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