Three-dimension Test Wrapper Design based on Multi-objective Cuckoo Search

نویسندگان

  • Aijun Zhu
  • Chuanpei Xu
  • Jun Wu
  • Zhi Li
  • Junhao Niu
چکیده

The main methodologies and recent patents on test wrapper design have been reviewed in this paper. The design of three-dimension test wrapper for IP module in System on Chip is a NP Hard problem. As the test time of an IP module is determined by the longest wrapper scan chain and each TSV has area costs and is a potential source of defects, it is necessary to shorten the longest wrapper chain and use less TSV. The paper proposes MOCS (Multi-Objective Cuckoo Search) algorithm to achieve the purpose of minimization of the IP module test time and the number of TSV used. The proposed algorithm, which is based on swarm intelligence, through levy flight operation and discovery rate, can achieve balance of the wrapper scan chains and use less TSV. Typical IP modules in ITC'02 benchmarks are used to prove the effectiveness of the proposed algorithm. Experimental results show that the algorithm can get better Pateto solutions Set, compared with NSGAII, and can reduce the test cost.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

AN EFFICIENT OPTIMIZATION PROCEDURE BASED ON CUCKOO SEARCH ALGORITHM FOR PRACTICAL DESIGN OF STEEL STRUCTURES

Different kinds of meta-heuristic algorithms have been recently utilized to overcome the complex nature of optimum design of structures. In this paper, an integrated optimization procedure with the objective of minimizing the self-weight of real size structures is simply performed interfacing SAP2000 and MATLAB® softwares in the form of parallel computing. The meta-heuristic algorithm chosen he...

متن کامل

Multiobjective cuckoo search for design optimization

Many design problems in engineering are typically multiobjective, under complex nonlinear constraints. The algorithms needed to solve multiobjective problems can be significantly different from the methods for single objective optimization. Computing effort and the number of function evaluations may often increase significantly for multiobjective problems. Metaheuristic algorithms start to show...

متن کامل

Feature Selection Using Multi Objective Genetic Algorithm with Support Vector Machine

Different approaches have been proposed for feature selection to obtain suitable features subset among all features. These methods search feature space for feature subsets which satisfies some criteria or optimizes several objective functions. The objective functions are divided into two main groups: filter and wrapper methods.  In filter methods, features subsets are selected due to some measu...

متن کامل

Design of Low Pass Digital FIR Filter Using Cuckoo Search Algorithm

This paper presents a novel approach of designing linear phase FIR low pass filter using cuckoo Search Algorithm (CSA). FIR filter design is a multi-modal optimization problem. The conventional optimization techniques are not efficient for digital filter design. An iterative method is introduced to find the best solution of FIR filter design problem.Flat passband and high stopband attenuation a...

متن کامل

Hybrid Cuckoo Search Algorithm based on Powell Search for Constrained Engineering Design Optimization

Cuckoo search (CS) has been recently proposed as a population-based optimization algorithm and it is has so far been successfully applied in a variety of fields. An efficient hybrid cuckoo search algorithm (HCSA) based on Powell direct search method is proposed for solving constrained engineering design optimization problems. The inertia weight of Levy flights is introduced to balance the abili...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2015