Results 1 - 10 of 516

Empirical Analysis of a Genetic Algorithm-based Stress Test Technique

by Vahid Garousi - In Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation (GECCO ’08). ACM , 1743
"... ABSTRACT Evolutionary testing denotes the use of evolutionary algorithms, e.g., Genetic Algorithms (GAs), to support various test automation tasks. Since evolutionary algorithms are heuristics, their performance and output efficiency can vary across multiple runs. Therefore, there is a strong need ..."
Abstract - Cited by 7 (0 self) - Add to MetaCart
ABSTRACT Evolutionary testing denotes the use of evolutionary algorithms, e.g., Genetic Algorithms (GAs), to support various test automation tasks. Since evolutionary algorithms are heuristics, their performance and output efficiency can vary across multiple runs. Therefore, there is a strong need

A strategy for using genetic algorithms to automate branch and fault-based testing

by B. F. Jones, D. E. Eyres, H. -h. Sthamer - The Computer Journal , 1998
"... ..."
Abstract - Cited by 44 (5 self) - Add to MetaCart
Abstract not found

Genetic Algorithm-based Hybrid Methods for a Flexible Single-operation Serial-batch Scheduling Problem with Mold Constraints

by Hegen Xiong, Huali Fan, Gongfa Li , 2013
"... Abstract: Scheduling in a manufacturing system is currently a research hotspot. This paper proposes a flexible, single-operation, serial-batch scheduling problem with mold constraints that arise from injection molding production. In such a scheduling problem, three decision problems exist: product b ..."
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batch splitting, sequencing, and resource selection. A divide-and-conquer framework is introduced to solve the three decision problems. A hybrid algorithm combining the genetic algorithm for sequencing with the heuristic algorithm for resource selection is developed. We design an experimental case

Application of three physical fault injection techniques to the experimental assessment of the MARS architecture

by Johan Karlsson, Peter Folkesson , 1995
"... This paper describes and compares three physical fault injection techniques—heavy-ion radiation, pin-level injection, and electromagnetic interference—and their use in the validation of MARS, a fault-tolerant distributed real-time system. The main features of the injection techniques are first summa ..."
Abstract - Cited by 47 (7 self) - Add to MetaCart
This paper describes and compares three physical fault injection techniques—heavy-ion radiation, pin-level injection, and electromagnetic interference—and their use in the validation of MARS, a fault-tolerant distributed real-time system. The main features of the injection techniques are first

Fault Injection Resilience

by Sylvain Guilley, Laurent Sauvage, Jean-luc Danger, Nidhal Selmane
"... Abstract—Fault injections constitute a major threat to the security of embedded systems. Errors occurring in the cryptographic algorithms have been shown to be extremely dangerous, since powerful attacks can exploit few of them to recover the full secrets. Most of the resistance techniques to pertur ..."
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Abstract—Fault injections constitute a major threat to the security of embedded systems. Errors occurring in the cryptographic algorithms have been shown to be extremely dangerous, since powerful attacks can exploit few of them to recover the full secrets. Most of the resistance techniques

Learning with Case Injected Genetic Algorithms

by Sushil J. Louis, John McDonnell , 2004
"... ID A318 Abstract This paper presents a new approach to genetic algorithm based machine learning. We use genetic algorithms augmented with a case-based memory of past problem solving attempts to obtain better performance over time on sets of similar problems. Rather than starting anew on each proble ..."
Abstract - Cited by 38 (7 self) - Add to MetaCart
ID A318 Abstract This paper presents a new approach to genetic algorithm based machine learning. We use genetic algorithms augmented with a case-based memory of past problem solving attempts to obtain better performance over time on sets of similar problems. Rather than starting anew on each

A Genetic Based Fault Location Algorithm for Transmission Lines A GENETIC BASED FAULT LOCATION ALGORITHM FOR TRANSMISSION LINES

by Assistant Professor, K M El-Naggar , Assistant Professor, K M El-Naggar
"... Summary Overhead transmission lines are parts of the electric power system where fault probabilities are generally higher than that of other system components. One of the main objective of protective system is to detect faults on transmission lines as fast as possible. Another important job is to l ..."
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is to locate this fault point accurately. Therefore, it is very important to have a fast reliable methods that can detect and locate faults on transmission lines in order to reduce the time needed to resume the service to consumers. This paper presents a new method based on Genetic Algorithms (GAs

Encrenaz, “Electromagnetic fault injection: towards a fault model on a 32-bit microcontroller

by Nicolas Moro , Amine Dehbaoui , Karine Heydemann , Bruno Robisson , Emmanuelle Encrenaz - FDTC , 2013
"... Abstract-Injection of transient faults as a way to attack cryptographic implementations has been largely studied in the last decade. Several attacks that use electromagnetic fault injection against hardware or software architectures have already been presented. On microcontrollers, electromagnetic ..."
Abstract - Cited by 3 (1 self) - Add to MetaCart
Abstract-Injection of transient faults as a way to attack cryptographic implementations has been largely studied in the last decade. Several attacks that use electromagnetic fault injection against hardware or software architectures have already been presented. On microcontrollers, electromagnetic

Sequential Circuit Test Generation in a Genetic Algorithm Framework

by Elizabeth Rudnick, Janak H. Patel, Gary S. Greenstein, Thomas M. Niermann - Proc. Design Automation Conf , 1994
"... Test generation using deterministic faultoriented algorithms is highly complex and time-consuming. New approaches are needed to augment the existing techniques, both to reduce execution time and to improve fault coverage. In this work, we describe a genetic algorithm (GA) framework for sequential ci ..."
Abstract - Cited by 76 (17 self) - Add to MetaCart
Test generation using deterministic faultoriented algorithms is highly complex and time-consuming. New approaches are needed to augment the existing techniques, both to reduce execution time and to improve fault coverage. In this work, we describe a genetic algorithm (GA) framework for sequential

An Efficient Multiobjective Optimizer Based on Genetic Algorithm and Approximation Techniques for Electromagnetic Design

by S. L. Ho, S. Y. Yang, G. Z. Ni, K. F. Wong
"... To provide an efficient multiobjective optimizer, an approximation technique based on the moving least squares approximation is integrated into an improved genetic algorithm. In order to use fully, both the a posteriori information gathered from the latest searched nondominated solutions and the a p ..."
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To provide an efficient multiobjective optimizer, an approximation technique based on the moving least squares approximation is integrated into an improved genetic algorithm. In order to use fully, both the a posteriori information gathered from the latest searched nondominated solutions and the a
Results 1 - 10 of 516