A review of the literature on fuzzy-logic approaches for collision-free path planning of manipulator robots
In recent years, a large number of manipulator robots have been deployed to replace or
assist humans in many repetitive and dangerous tasks. Yet, these robots have complex …
assist humans in many repetitive and dangerous tasks. Yet, these robots have complex …
Cost-effective regression testing through Adaptive Test Prioritization strategies
A Schwartz, H Do - Journal of Systems and Software, 2016 - Elsevier
Regression testing is an important part of the software development life cycle. It is also very
expensive. Many different techniques have been proposed for reducing the cost of …
expensive. Many different techniques have been proposed for reducing the cost of …
Temperature control with fuzzy neural network
B Dai, R Chen, RC Chen - 2017 IEEE 8th International …, 2017 - ieeexplore.ieee.org
Temperature control is a very common scene in industrial control. Combined with our
previous research, the temperature control of drinking water is an important aspect of …
previous research, the temperature control of drinking water is an important aspect of …
Evaluation and analysis of incorporating Fuzzy Expert System approach into test suite reduction
CY Huang, CS Chen, CE Lai - Information and Software Technology, 2016 - Elsevier
Context Software has become increasingly important in our modern society. However, when
new features are developed due to user requests, such requests could make the sizes of test …
new features are developed due to user requests, such requests could make the sizes of test …
A framework for improving fault localization effectiveness based on fuzzy expert system
CT Lin, WY Chen, J Intasara - IEEE Access, 2021 - ieeexplore.ieee.org
Many spectrum-based fault localization (SBFL) techniques have been proposed in order to
improve debugging efficiency. These SBFL techniques were designed according to different …
improve debugging efficiency. These SBFL techniques were designed according to different …
Optimization of interval type-2 fuzzy logic controller using quantum genetic algorithms
A Type-2 Fuzzy logic controller adapted with quantum genetic algorithm, referred to as type-
2 quantum fuzzy logic controller (T2QFLC), is presented in this article for robot manipulators …
2 quantum fuzzy logic controller (T2QFLC), is presented in this article for robot manipulators …
A fuzzy expert system for cost-effective regression testing strategies
A Schwartz, H Do - 2013 IEEE International Conference on …, 2013 - ieeexplore.ieee.org
Different testing environments and software change characteristics can affect the choice of
regression testing techniques. In our prior work, we developed adaptive regression testing …
regression testing techniques. In our prior work, we developed adaptive regression testing …
Determining the parameters of a Sugeno fuzzy controller using a parallel genetic algorithm
S Ciurea - 2013 19th International Conference on Control …, 2013 - ieeexplore.ieee.org
Developed in the mid 1970s, the technique based on genetic algorithms proved its
usefulness in finding optimal or near optimal solutions to problems for which accurate …
usefulness in finding optimal or near optimal solutions to problems for which accurate …
Multi objective non-dominated sorting genetic algorithm (NSGA-II) for optimizing fuzzy rule base system
Multi-objective designs are genuine models for intricate combinatorial optimization
problems. This paper presents a fast elitist non-dominated sorting multi objective genetic …
problems. This paper presents a fast elitist non-dominated sorting multi objective genetic …
[PDF][PDF] Using motor speed profile and genetic algorithm to optimize the fuzzy logic controller for controlling DC servomotor
T Nguyen, T Komeda - International Journal of Computer …, 2014 - researchgate.net
The paper describes a new proposed algorithm to automatically tune a Fuzzy Logic
Controller by using motor Speed profile and Genetic Algorithm (FLCSGA algorithm) in …
Controller by using motor Speed profile and Genetic Algorithm (FLCSGA algorithm) in …