Eger , Hungary , 2007 . Improvements on the GLOBAL Optimization Algorithm with Numerical Tests ∗
نویسنده
چکیده
We introduce a new, Matlab based version of the GLOBAL optimization method. This stochastic local global search algorithm does not make use of derivative information, thus it is well-suited for solving practical global optimization problems. We illustrate the effectiveness of the method on a problem by solving an optimization problem from the domain of pension system modeling.
منابع مشابه
Theoretical Approach of A Possible Value-Added Chain in the Biomass Industry in Rural Areas Giving the Example of A Hungarian Microregion
The future of biomass energy in the global energy system depends on many major factors, among others on the attitude of society in rural areas to the biomass energy and the renewable energy resources. Biomass energy plays increasing role in rural areas with its contribution to the self sufficiency of people in the countryside. The paper deals with the analysis the opportunities of utilization o...
متن کاملTesting Soccer League Competition Algorithm in Comparison with Ten Popular Meta-heuristic Algorithms for Sizing Optimization of Truss Structures
Recently, many meta-heuristic algorithms are proposed for optimization of various problems. Some of them originally are presented for continuous optimization problems and some others are just applicable for discrete ones. In the literature, sizing optimization of truss structures is one of the discrete optimization problems which is solved by many meta-heuristic algorithms. In this paper, in or...
متن کاملElite Opposition-based Artificial Bee Colony Algorithm for Global Optimization
Numerous problems in engineering and science can be converted into optimization problems. Artificial bee colony (ABC) algorithm is a newly developed stochastic optimization algorithm and has been widely used in many areas. However, due to the stochastic characteristics of its solution search equation, the traditional ABC algorithm often suffers from poor exploitation. Aiming at this weakness o...
متن کاملA Meta-heuristic Algorithm for Global Numerical Optimization Problems inspired by Vortex in fluid physics
One of the most important issues in engineering is to find the optimal global points of the functions used. It is not easy to find such a point in some functions due to the reasons such as large number of dimensions or inability to derive them from the function. Also in engineering modeling, we do not have the relationships of many functions, but we can input and output them as a black box. The...
متن کاملA Hybrid Meta-Heuristic Algorithm based on Imperialist Competition Algorithm
The human has always been to find the best in all things. This Perfectionism has led to the creation of optimization methods. The goal of optimization is to determine the variables and find the best acceptable answer Due to the limitations of the problem, So that the objective function is minimum or maximum. One of the ways inaccurate optimization is meta-heuristics so that Inspired by nature, ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2007