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The book describes the utility and efficiency of nature based algorithms in optimization, classification and simulation of natural resource management problems.The book deals with climate change, hydrology, renewable energy and natural ecosystems and tries to find solution to its common uncertainties so that proper mitigation steps can be undertaken to reduce both quantity and probability of such anomalies. The book aims to propose some methodologies which can help related engineers and planners to mitigate the common abnormalities that exist to derail the equilibrium of a natural ecosystem and its biotic as well as abiotic components.
This book investigates the application of nature-inspired algorithms to address complex challenges in natural resource management. It explores how computational methods derived from natural processes can be utilized for optimization, classification, and simulation within fields such as climate change, hydrology, renewable energy, and ecosystem studies, aiming to mitigate uncertainties and anomalies that disrupt ecological balance.
The book presents a technical exploration of computational methods applied to environmental challenges. Its focus on nature-based algorithms suggests a methodology-driven approach to problem-solving in resource management. The content likely appeals to researchers, engineers, and planners seeking advanced techniques for ecological and climate-related issues. The detailed examination of specific areas like hydrology and renewable energy indicates a specialized audience interested in practical applications of algorithms.
Page Count:
341
Publication Date:
2013-01-01
ISBN-10:
9400751516
ISBN-13:
9789400751514
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