MATLAB Genetic Algorithms
Solving Complex Problems with Evolutionary Computation
Many optimization problems seem impossible to solve with conventional methods. When your search space is too large, your objective function is non-linear, or you have multiple competing goals, traditional approaches hit a wall. Genetic algorithms offer a different path—one inspired by nature itself. This practical guide teaches you how to harness the power of evolutionary computation in MATLAB to tackle optimization challenges that would otherwise remain unsolved. You'll move beyond theory to build working solutions, starting with the fundamentals of how genetic algorithms work and progressing to advanced techniques for real-world applications. Whether you're optimizing engineering designs, tuning machine learning parameters, or solving scheduling problems, you'll learn exactly how to formulate your problem, implement solutions using MATLAB's toolbox, and refine your approach through systematic experimentation. Each concept is grounded in practical examples you can run immediately, with clear explanations of why each technique matters and when to apply it.
Est. Length
222 pages (10 chapters)
Language
English
Publication date
Nov 4, 2025
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