Balancing Act
Mastering Multi-Objective Optimization in Real-World Problem Solving
Most optimization problems in the real world aren't about finding one perfect answer—they're about navigating competing demands. You can't simultaneously maximize profit, minimize environmental impact, and reduce production time without making trade-offs. This is where multi-objective optimization becomes essential. This book demystifies the mathematics and practical techniques for solving problems with multiple, often conflicting objectives. Whether you're designing products, allocating resources, managing supply chains, or optimizing operations, you'll discover how to identify solutions that balance competing priorities rather than chase an impossible ideal. You'll learn the fundamental concepts—from Pareto optimality to weighted objectives—and explore proven methods including linear programming, evolutionary algorithms, and decision-making frameworks. Each concept is grounded in real applications, showing how organizations use these techniques to make better decisions under constraint. By the end, you'll have both the theoretical foundation and practical toolkit to tackle complex optimization challenges in your own work.
Est. Length
222 pages (10 chapters)
Language
English
Publication date
Jan 27, 2026
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