| Name: | Description: | Size: | Format: | |
|---|---|---|---|---|
| 1.53 MB | Adobe PDF |
Advisor(s)
Abstract(s)
Search Optimization methods are needed to solve
optimization problems where the objective function and/or
constraints functions might be non differentiable, non convex
or might not be possible to determine its analytical expressions
either due to its complexity or its cost (monetary, computational,
time,...). Many optimization problems in engineering and other
fields have these characteristics, because functions values can
result from experimental or simulation processes, can be
modelled by functions with complex expressions or by noise
functions and it is impossible or very difficult to calculate
their derivatives. Direct Search Optimization methods only
use function values and do not need any derivatives or
approximations of them. In this work we present a Java
API that including several methods and algorithms, that do
not use derivatives, to solve constrained and unconstrained
optimization problems. Traditional API access, by installing it
on the developer and/or user computer, and remote API access
to it, using Web Services, are also presented. Remote access to
the API has the advantage of always allow the access to the
latest version of the API. For users that simply want to have a
tool to solve Nonlinear Optimization Problems and do not want
to integrate these methods in applications, also two applications
were developed. One is a standalone Java application and the
other a Web-based application, both using the developed API.
Description
Keywords
Nonlinear programming Derivative-free Java API Remote access Web services
Citation
Publisher
International Association of Engineers