Abstract. A collection of unconstrained optimization test functions is presented. The purpose of this collection is to give to the optimization community a large number of general test functions to be used in testing the unconstrained optimization algorithms and comparisons studies. For each function we give its algebraic expression and the standard initial point. Some of the test fnctions are from the CUTE collection established by Bongartz, Conn, Gould and Toint, [1995], others are from Moré, Garbow and Hillstrom, [1981], Himmelblau [1972] or from some other papers or technical reports
This paper attempts to put up a general review of common knowledge of dis-similar types of the intel...
Many practical optimization problems involve nonsmooth (that is, not necessarily differentiable) fu...
A collection of thirty mathematical functions that can be used for optimization purposes is presente...
Much of the testing of optimization software is inadequate because the number of test functmns is sm...
Test functions are important to validate and compare the performance of optimisation algorithms. The...
The purpose of this article is to discuss the scopeand functionality of a versatile environment for ...
This thesis addresses the topic of unconstrained optimization. It describes seven derivative-free op...
We propose some automatic techniques for unconstrained optimization with the objective function give...
In order to evaluate the relative performance of optimization algorithms benchmark problems are freq...
Finding the unconstrained minimizer of a function of more than one variable is an important problem ...
This paper deals with various approaches to solving optimization tasks. In prolog some examples from...
abstract: the well-known difficulties with the treatment of ill-conditioned unconstrained optimizati...
comparison of several current optimization methods, and the use of transformations in constrained pr...
AbstractThe paper deals with testing of selected heuristic optimization methods and their evaluation...
Multimodal function optimization, where the aim is to locate more than one solution, has attracted g...
This paper attempts to put up a general review of common knowledge of dis-similar types of the intel...
Many practical optimization problems involve nonsmooth (that is, not necessarily differentiable) fu...
A collection of thirty mathematical functions that can be used for optimization purposes is presente...
Much of the testing of optimization software is inadequate because the number of test functmns is sm...
Test functions are important to validate and compare the performance of optimisation algorithms. The...
The purpose of this article is to discuss the scopeand functionality of a versatile environment for ...
This thesis addresses the topic of unconstrained optimization. It describes seven derivative-free op...
We propose some automatic techniques for unconstrained optimization with the objective function give...
In order to evaluate the relative performance of optimization algorithms benchmark problems are freq...
Finding the unconstrained minimizer of a function of more than one variable is an important problem ...
This paper deals with various approaches to solving optimization tasks. In prolog some examples from...
abstract: the well-known difficulties with the treatment of ill-conditioned unconstrained optimizati...
comparison of several current optimization methods, and the use of transformations in constrained pr...
AbstractThe paper deals with testing of selected heuristic optimization methods and their evaluation...
Multimodal function optimization, where the aim is to locate more than one solution, has attracted g...
This paper attempts to put up a general review of common knowledge of dis-similar types of the intel...
Many practical optimization problems involve nonsmooth (that is, not necessarily differentiable) fu...
A collection of thirty mathematical functions that can be used for optimization purposes is presente...