Intelligent Methods and Alternative Economic Models for Sustainability
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In the face of a world overwhelmed by environmental challenges, the need for sustainability has reached a critical juncture. This multidimensional concept demands a delicate equilibrium between environmental preservation, economic viability, and social equity. Navigating this intricate terrain necessitates innovative solutions that bridge the present and the future. The urgency is palpable as we grapple with the repercussions of unsustainable practices. Intelligent Methods and Alternative Economic Models for Sustainability emerges as the definitive solution to this urgent problem. By synergizi...
In the face of a world overwhelmed by environmental challenges, the need for sustainability has reached a critical juncture. This multidimensional concept demands a delicate equilibrium between environmental preservation, economic viability, and social equity. Navigating this intricate terrain necessitates innovative solutions that bridge the present and the future. The urgency is palpable as we grapple with the repercussions of unsustainable practices. Intelligent Methods and Alternative Economic Models for Sustainability emerges as the definitive solution to this urgent problem. By synergizing intelligent methods and alternative economic models, the book provides a cohesive framework to address the multifaceted challenges of sustainability. It delves into the transformative power of metaheuristics, big data, and the Internet of Things (IoT) in optimizing complex systems while advocating for circular economic models that minimize waste and maximize resource efficiency. The book transcends theoretical discourse, offering real-world insights into successful sustainability initiatives. This comprehensive approach caters not only to researchers in computer sciences, economics, and sustainability but also empowers policymakers with actionable strategies and engages the broader public, fostering awareness and understanding of sustainability issues that impact us all.
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