Nature-Inspired Optimization Techniques (NIOTs) are computational algorithms that mimic the efficiency and adaptability of natural phenomena, such as biological processes, animal behaviors, and physical systems. These techniques are useful in water allocation problems due to their adaptability, multi-objective optimization, scalability, flexibility, and efficiency. They can handle dynamic and uncertain water resource systems, balance multiple objectives, and find near-optimal solutions faster than traditional methods, making them suitable for real-time decision-making.
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