© Springer-Verlag Berlin Heidelberg 2015. To model and solve a bi-level or multi-level optimization problem, we have to first understand basic single-level optimization models and related solution methods. This chapter introduces related concepts, models and solution methods of basic single-level optimization including linear programming, non-linear programming, multi-objective programming, goal programming, Stackelberg game theory, and particle swarm optimization. These knowledge will be used in the rest of the book
Choose the Correct Solution Method for Your Optimization ProblemOptimization: Algorithms and Applica...
Recent results on non-convex multi-objective optimization problems and methods are presented in this...
Attempts to be the first easy-to-read book about nonsmooth optimization Covers both the theory and ...
© Springer-Verlag Berlin Heidelberg 2015. This chapter introduces basic definitions, theorems, model...
Introduces students to the theory, algorithms, and applications of optimization. The optimization me...
This paper deals with various approaches to solving optimization tasks. In prolog some examples from...
This book provides a complete background on metaheuristics to solve complex bi-level optimization pr...
Optimization is a process that aims to find the best, most favorable, or most optimized solution for...
The access to advanced optimization software needs more and more sophisticated modeling tools. Optim...
Focuses on mathematical structure, and on real-world applications. This book includes developments i...
This text covers the theory of optimization, understood as the basis of modern applied mathematics, ...
Optimization Methods and Software publishes refereed papers on the latest developments in the theory...
Cost-effective manufacturing processes or products are no longer the only requirements for business ...
Emphasizing practical understanding over the technicalities of specific algorithms, this elegant tex...
Effectively sharing resources requires solving complex decision problems. This requires constructing...
Choose the Correct Solution Method for Your Optimization ProblemOptimization: Algorithms and Applica...
Recent results on non-convex multi-objective optimization problems and methods are presented in this...
Attempts to be the first easy-to-read book about nonsmooth optimization Covers both the theory and ...
© Springer-Verlag Berlin Heidelberg 2015. This chapter introduces basic definitions, theorems, model...
Introduces students to the theory, algorithms, and applications of optimization. The optimization me...
This paper deals with various approaches to solving optimization tasks. In prolog some examples from...
This book provides a complete background on metaheuristics to solve complex bi-level optimization pr...
Optimization is a process that aims to find the best, most favorable, or most optimized solution for...
The access to advanced optimization software needs more and more sophisticated modeling tools. Optim...
Focuses on mathematical structure, and on real-world applications. This book includes developments i...
This text covers the theory of optimization, understood as the basis of modern applied mathematics, ...
Optimization Methods and Software publishes refereed papers on the latest developments in the theory...
Cost-effective manufacturing processes or products are no longer the only requirements for business ...
Emphasizing practical understanding over the technicalities of specific algorithms, this elegant tex...
Effectively sharing resources requires solving complex decision problems. This requires constructing...
Choose the Correct Solution Method for Your Optimization ProblemOptimization: Algorithms and Applica...
Recent results on non-convex multi-objective optimization problems and methods are presented in this...
Attempts to be the first easy-to-read book about nonsmooth optimization Covers both the theory and ...