نتایج جستجو برای: benchmark functions

تعداد نتایج: 544592  

ANFIS systems have been much considered due to their acceptable performance in terms of creation of fuzzy classifier and training. One main challenge in designing an ANFIS system is to achieve an efficient method with high accuracy and appropriate interpreting capability. Undoubtedly, type and location of membership functions and the way an ANFIS network is trained are of considerable effect on...

Journal: :CoRR 2006
David Bateman Andy Adler

This paper discusses the implementation of the sparse matrix support with Octave. It address the algorithms that have been used, their implementation, including examples of using sparse matrices in scripts and in dynamically linked code. The octave sparse functions the compared with their equivalent functions with Matlab, and benchmark timings are calculated.

2004
Ning Song

This paper presents a new operation (exorlink) and an algorithm to minimize Exclusive-OR Sum-of-Products expressions (ESOP’s) for multiple valued input, two valued output, incompletely specified functions. Exorlink is a more powerful operation than any other existing one for this problem. Evaluation on benchmark functions is given and it proves the superiority of the program to those known from...

2012
Hamed Shah-Hosseini

In this paper, the Intelligent Water Drops (IWD) algorithm is augmented with a mutation-based local search to find the optimal values of numerical functions. The proposed algorithm called the IWD-CO (IWD for continuous optimization) is tested with six different benchmark functions. The experimental results are satisfactory, which encourage further researches in this regard. © 2011 Published by ...

Journal: :IEEE Trans. on CAD of Integrated Circuits and Systems 1996
Ning Song Marek A. Perkowski

This paper presents a new operation (Exorlink) and an algorithm to minimize Exclusive-OR Sum-of-Products expressions (ESOPs) for multiple valued input, two valued output, incompletely speciied functions. Exorlink is a more powerful operation than the existing ones for this problem. Evaluation on benchmark functions is given and it proves the superiority of the program to those known from the li...

2006
David Bateman Andy Adler

This paper discusses the implementation of the sparse matrix support with Octave. It address the algorithms that have been used, their implementation, including examples of using sparse matrices in scripts and in dynamically linked code. The octave sparse functions the compared with their equivalent functions with Matlab, and benchmark timings are calculated.

Journal: :Journal of Economic Theory 2017

Journal: :international journal of mathematical modelling and computations 0
z. molaee azad university, central tehran branch iran, islamic republic of department of mathematics a. zandi azad university, central tehran branch iran, islamic republic of department of mathematics

data envelopment analysis (dea) with considering the best condition for each decision making unit (dmu) assesses the relative efficiency for it and divides a homogenous group of dmus in to two categories: efficient and inefficient, but traditional dea models can not rank efficient dmus. although some models were introduced for ranking efficient dmus, franklin lio & hsuan peng (2008), proposed a...

Journal: :international journal of civil engineering 0
m.h. afshar h. ketabchi e. rasa

in this paper, a new continuous ant colony optimization (caco) algorithm is proposed for optimal reservoir operation. the paper presents a new method of determining and setting a complete set of control parameters for any given problem, saving the user from a tedious trial and error based approach to determine them. the paper also proposes an elitist strategy for caco algorithm where best solut...

2013
J. Zhang I. Renners A. Knoll

This paper proposes a comprehensive approach on automatic optimisation of B-spline based neuro-fuzzy models. The underlying structure of a system decided by the displacements of the membership functions is an important factor for its generalisation ability and output accuracy. Therefore a genetic algorithm is introduced which is used to find a suitable model for an arbritrary given problem. App...

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