Genetic programming (GP) is an evolutionary computation paradigm that evolves computer programmes or symbolic expressions through operations analogous to natural selection and genetic variation. In ...

Abstract: The exponential growth of IoT data necessitates efficient feature selection for managing high-dimensional datasets while ensuring optimal classification performance. Traditional algorithms ...

PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants (evolutionary algorithms/swarm-based ...

An interactive web app for visualizing and optimizing solutions using genetic algorithms, featuring customizable parameters, real-time visualizations, and support for various objective functions.

Abstract: Identifying student learning outcomes data in a subject to predict student performance is interesting research. This study was conducted to identify the factors that affect student ...

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The past year has been a big one for local search. Google has remained the behemoth in local SEO, being heavily relied upon by businesses within organic results and Google Maps. In 2018, the Google My ...

ABSTRACT: This paper explores the potential application of a modified version of the Non-dominated Sorting Genetic Algorithm (NSGA)-II for land-use planning in Mediterranean islands that constitute a ...