Introduction to operations research, 4th ed.
Introduction to operations research, 4th ed.
Globally optimized calibration of environmental models
Annals of Operations Research
Pure adaptive search in global optimization
Mathematical Programming: Series A and B
The nature of mathematical modeling
The nature of mathematical modeling
Finding elliptic Fekete points sets: two numerical solution approaches
Journal of Computational and Applied Mathematics
Lancelot: A FORTRAN Package for Large-Scale Nonlinear Optimization (Release A)
Lancelot: A FORTRAN Package for Large-Scale Nonlinear Optimization (Release A)
SNOPT: An SQP Algorithm for Large-Scale Constrained Optimization
SIAM Journal on Optimization
Convexification and Global Optimization in Continuous And
Convexification and Global Optimization in Continuous And
Numerical Data Fitting in Dynamical Systems: A Practical Introduction with Applications and Software
Numerical Data Fitting in Dynamical Systems: A Practical Introduction with Applications and Software
A comparison of complete global optimization solvers
Mathematical Programming: Series A and B
Comparative Assessment of Algorithms and Software for Global Optimization
Journal of Global Optimization
Journal of Global Optimization
Deterministic Global Optimization: Theory, Methods and (NONCONVEX OPTIMIZATION AND ITS APPLICATIONS Volume 37) (Nonconvex Optimization and Its Applications)
Global Optimization with Non-Convex Constraints - Sequential and Parallel Algorithms (Nonconvex Optimization and its Applications Volume 45) (Nonconvex Optimization and Its Applications)
Principles of Optimal Design
Calibrating artificial neural networks by global optimization
Expert Systems with Applications: An International Journal
Low dimensional simplex evolution: a new heuristic for global optimization
Journal of Global Optimization
Global search perspectives for multiobjective optimization
Journal of Global Optimization
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The Lipschitz Global Optimizer (LGO) software integrates global and local scope search methods, to handle a very general class of nonlinear optimization models. Here we discuss the LGO implementation linked to the General Algebraic Modeling System (GAMS). First we review the key features and basic usage of the GAMS /LGO solver option, then present reproducible numerical results to illustrate its performance.