Optimization techniques have developed into a modern-day solution
for real-world problems in various industries. As a way to improve
performance and handle issues of uncertainty, optimization research
becomes a topic of special interest across disciplines. Problem
Solving and Uncertainty Modeling through Optimization and Soft
Computing Applications presents the latest research trends and
developments in the area of applied optimization methodologies and
soft computing techniques for solving complex problems. Taking a
multi-disciplinary approach, this critical publication is an
essential reference source for engineers, managers, researchers,
and post-graduate students.
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