Non-Renewable Resource Exploitation

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This study presents a groundbreaking approach to the optimization of non-renewable resource management through the integration of Artificial Intelligence (AI) and Metaheuristics within a dynamic programming framework. Spearheaded by the innovative concepts of opportunity cost  and time per unit of resource this research outlines a method that iteratively explores potential exploitation policies to maximize the present value of resources. The core of the methodology lies in the novel utilization of AI to learn from and adapt to varying exploitation strategies, while Metaheuristics tackle the optimization subproblems, thereby enhancing decision-making processes and operational efficiency.

Under the visionary leadership of our CEO, Melissa Amado, this research underscores the importance of interdisciplinary collaboration, merging insights from mathematics, computer science, and natural resource management. The study also pays homage to the invaluable guidance of academic mentors in Strategic Mining Planning and the rigorous academic oversight of a MSc Computer Science advisor, culminating in a solution that not only advances theoretical frameworks but also offers tangible, sustainable strategies for industry practitioners.