Book

Engineering Optimization Using MATLAB: Fundamentals and Optimization Solvers is a practical guide that bridges the gap between optimization theory and computational implementation using MATLAB. Intended for undergraduate and graduate students, researchers, educators, and practicing engineers, the book provides a systematic introduction to engineering optimization and demonstrates how mathematical models can be transformed into efficient computational solutions. It covers optimization fundamentals, objective functions, design variables, equality and inequality constraints, mathematical modeling, and problem formulation, followed by a detailed presentation of MATLAB optimization environments, problem-based and solver-based workflows, and optimization solvers. The book also introduces linear programming (LP), mixed-integer linear programming (MILP), supported by practical examples and fully documented MATLAB codes. By combining theoretical concepts with hands-on implementation, it enables readers to solve engineering optimization problems efficiently and serves as a valuable reference for engineering education, scientific research, and industrial applications.