Optimization Techniques in Engineering is a comprehensive guide to modern optimization techniques and their applications in engineering. Written by experienced engineers and researchers, the book covers both theoretical and practical aspects of optimization. It provides a thorough introduction to the fundamentals of optimization, including linear and nonlinear programming, constrained and unconstrained optimization, multi-objective optimization, and meta-heuristics. It also discusses various optimization techniques such as genetic algorithms, simulated annealing, ant colony optimization, and particle swarm optimization. The book also presents detailed case studies from various engineering disciplines, such as civil engineering, mechanical engineering, electrical engineering, and chemical engineering. By presenting the latest research in optimization techniques, this book serves as a valuable resource for both engineers and researchers.