scholarly journals Adjust-free adversarial example generation in speech recognition using evolutionary multi-objective optimization under black-box condition

2021 ◽  
Author(s):  
Shoma Ishida ◽  
Satoshi Ono
Keyword(s):  
Speech Recognition ◽  
Black Box ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Example Generation ◽  
Adversarial Example

Multiobjective Optimization for High Dimensional Expensively Constrained Black-Box Problems

2021 ◽  
pp. 1-59
Author(s):  
George Cheng ◽  
G. Gary Wang ◽  
Yeong-Maw Hwang
Keyword(s):  
Multiobjective Optimization ◽  
Trust Region ◽  
Adaptive Strategy ◽  
Black Box ◽  
Superior Performance ◽  
High Dimensional ◽  
Multi Objective Optimization ◽  
Semiconductor Substrate ◽  
Multi Objective ◽  
Computationally Expensive

Abstract Multi-objective optimization (MOO) problems with computationally expensive constraints are commonly seen in real-world engineering design. However, metamodel based design optimization (MBDO) approaches for MOO are often not suitable for high-dimensional problems and often do not support expensive constraints. In this work, the Situational Adaptive Kreisselmeier and Steinhauser (SAKS) method was combined with a new multi-objective trust region optimizer (MTRO) strategy to form the SAKS-MTRO method for MOO problems with expensive black-box constraint functions. The SAKS method is an approach that hybridizes the modeling and aggregation of expensive constraints and adds an adaptive strategy to control the level of hybridization. The MTRO strategy uses a combination of objective decomposition and K-means clustering to handle MOO problems. SAKS-MTRO was benchmarked against four popular multi-objective optimizers and demonstrated superior performance on average. SAKS-MTRO was also applied to optimize the design of a semiconductor substrate and the design of an industrial recessed impeller.

scholarly journals SISTEM PENERIMAAN PEGAWAI SALES KPR PADA BANK MENGGUNAKAN METODE MULTI-OBJECTIVE OPTIMIZATION ON THE BASIS OF RATIO ANALYSIS

2021 ◽  
Vol 8 (1) ◽  
pp. 60
Author(s):  
Andreyan Rizky Baskara ◽  
Yuslena Sari ◽  
Muhammad Adetya Ashari
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Black Box ◽  
Ratio Analysis ◽  
Multi Objective Optimization ◽  
New Employees ◽  
Multi Objective ◽  
Sales Employees

<p><em>The recruitment of new employees, especially for housing loan sales employees (KPR) is often carried out by banks because the performance evaluation of KPR sales employees is carried out regularly. The large number of prospective employees and the variety of criteria determined for selecting new employees lead to a lengthy decision-making process. Decision Support System (DSS) is basically a comprehensive computer system that can help make decisions and solve problems. The Multi Objective Optimization method on The Basis of Ratio Analysis (MOORA) as a decision-making method is used to build a decision support system. The decision support system is implemented as a web-based application using ATOM software which is integrated with the MySQL database. The Black Box testing method is used to test the system. The results showed that the MOORA method is very suitable to be applied in the decision making of KPR sales employee recruitment</em></p><p><em><strong>Keywords</strong></em><em>: </em><em>Decision Support System, KPR Sales Employee, MOORA</em> </p><p><em>Perekrutan pegawai baru khususnya untuk pegawai Sales Kredit Pemilikan Rumah (KPR) sering dilakukan oleh bank karena evaluasi kinerja pegawai sales KPR dilakukan secara berkala. Banyaknya calon pegawai dan beragamnya kriteria-kriteria yang ditentukan untuk menseleksi pegawai baru menyebabkan lamanya proses pengambilan keputusan. </em><em>S</em><em>istem </em><em>P</em><em>endukung </em><em>K</em><em>eputusan (SPK)</em><em> pada dasarnya adalah sistem komputer komprehensif yang dapat membantu</em><em> </em><em>membuat keputusan dan menyelesaikan masalah. </em><em>M</em><em>etode </em><em>Multi Objective Optimization on The Basis of Ratio Analysis</em><em> </em><em>(</em><em>MOORA</em><em>) sebagai salah satu metode pengambilan keputusan</em><em> digunakan untuk membangun sistem pendukung keputusan.</em><em> </em><em>Sistem pendukung keputusan diimplementasikan</em><em> sebagai aplikasi berbasis web</em><em> menggunakan perangkat lunak ATOM yang terintegrasi dengan database MySQL. </em><em>M</em><em>etode </em><em>pengujian Black Box</em><em> digunakan</em><em> untuk menguji sistem</em><em>.</em><em> Hasil penelitian menunjukkan bahwa metode MOORA sangat cocok diterapkan dalam pengambilan keputusan perekrutan pegawai sales KPR</em></p><p><em><strong>Kata kunci</strong></em><em>: </em><em>MOORA</em><em>, </em><em>Pegawai Sales KPR , Sistem Penunjang Keputusan</em></p>

On the arithmetic of infinity oriented implementation of the multi-objective P-algorithm

2012 ◽  
Author(s):  
Antanas Žilinskas
Keyword(s):  
Global Optimization ◽  
Black Box ◽  
Objective Functions ◽  
Multi Objective Optimization ◽  
Simple Application ◽  
Axiomatic Theory ◽  
Global Optimization Algorithm ◽  
Multi Objective ◽  
Computing Paradigm ◽  
Single Objective

The single-objective P-algorithm is a global optimization algorithm based on a statistical mod- el of objective functions and the axiomatic theory of rational decisions. It has been proven quite suitable for optimization of black-box expensive functions. Recently the P-algorithm has been generalized to multi-objective optimization. In the present paper, the implementation of that algorithm is considered using the new computing paradigm of the arithmetic of infinity. A strong homogeneity of the multi-objective P-algorithm is proven, thus enabling rather a simple application of the algorithm to the problems involving infinities and infinitesimals.

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