Metaheuristics Mastery
Solving Complex Problems with Intelligent Search Algorithms
Master the art of solving computationally hard problems with metaheuristic algorithms. You'll progress from understanding why traditional algorithms fail on complex optimization challenges to implementing and tuning sophisticated search strategies that deliver practical solutions. This book bridges the gap between theoretical computer science and real-world application, showing you how genetic algorithms, simulated annealing, particle swarm optimization, and other metaheuristics work under the hood. Learn to formulate decision problems effectively, select the right algorithm for your constraints, and evaluate performance rigorously. Through concrete examples and implementation guidance, you'll gain the confidence to tackle NP-hard problems, combinatorial optimization challenges, and complex search spaces that would otherwise be intractable. Whether you're optimizing logistics networks, designing machine learning hyperparameters, or solving scheduling problems, this book equips you with proven techniques and practical wisdom for making intelligent algorithmic choices.
Est. Length
222 pages (10 chapters)
Language
English
Publication date
Mar 30, 2026
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