Fundamentals of Optimization Techniques with Algorithms

Optimization Is A Key Concept In Mathematics, Computer Science, And Operations Research, And Is Essential To The Modeling Of Any System, Playing An Integral Role In Computer-aided Design. Fundamentals Of Optimization Techniques With Algorithms Presents A Complete Package Of Various Traditional And Advanced Optimization Techniques Along With A Variety Of Example Problems, Algorithms And Matlab© Code Optimization Techniques, For Linear And Nonlinear Single Variable And Multivariable Models, As Well As Multi-objective And Advanced Optimization Techniques. It Presents Both Theoretical And Numerical Perspectives In A Clear And Approachable Way. In Order To Help The Reader Apply Optimization Techniques In Practice, The Book Details Program Codes And Computer-aided Designs In Relation To Real-world Problems. Ten Chapters Cover, An Introduction To Optimization; Linear Programming; Single Variable Nonlinear Optimization; Multivariable Unconstrained Nonlinear Optimization; Multivariable Constrained Nonlinear Optimization; Geometric Programming; Dynamic Programming; Integer Programming; Multi-objective Optimization; And Nature-inspired Optimization. This Book Provides Accessible Coverage Of Optimization Techniques, And Helps The Reader To Apply Them In Practice. Presents Optimization Techniques Clearly, Including Worked-out Examples, From Traditional To Advanced Maps Out The Relations Between Optimization And Other Mathematical Topics And Disciplines Provides Systematic Coverage Of Algorithms To Facilitate Computer Coding Gives Matlab© Codes In Relation To Optimization Techniques And Their Use In Computer-aided Design Presents Nature-inspired Optimization Techniques Including Genetic Algorithms And Artificial Neural Networks