GSC
Global Change Science
The reserves or protected areas have a fundamental role in the biodiversity of the planet. The main objective of the reserves is to protect areas where a large number of animal and plant species coexist, considering also, a set of abiotic factors such as water, soil and sunlight. This research solves the budget-constrained maximal covering location (BCMCL) problem. The aim of BCMCL problem is to maximise the number of species to be protected by the constraints of a limited budget and the costs that have to protect each area.
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AutoMH: Automatically Create Evolutionary Metaheuristic Algorithms Using Reinforcement Learning
This research aims to have a system that can automatically create-discover evolutionary metaheuristic algorithms. This system was called the AutoMH framework. The AutoMH framework is based on Reinforcement Learning in which various improvements have been made to its architecture. Mainly the concept of reward, which in this research it works by ranking the generated algorithms.
