Optimization Concepts and Applications in Engineering

Organizations and businesses strive toward excellence and solutions to problems are based mostly on judgment and experience. However increased competition and consumer demands require that the solutions be optimum and not just feasible. Theory leads to algorithms. Algorithms need to be translated into computer codes. Engineering problems need to be modeled. Optimum solutions are obtained using theory and computers and then interpreted. Revised and expanded in its third edition this textbook integrates theory modeling development of numerical methods and problem solving thus preparing students to apply optimization to real-world problems. This text covers a broad variety of optimization problems using: unconstrained constrained gradient and non-gradient techniques; duality concepts; multi-objective optimization; linear integer geometric and dynamic programming with applications; and finite element-based optimization. It is ideal for advanced undergraduate or graduate courses in optimization design and for practicing engineers.