Results 41 to 50 of about 12,030 (235)

Slime Mould Algorithm-Based Tuning of Cost-Effective Fuzzy Controllers for Servo Systems

International Journal of Computational Intelligence Systems, 2021
This paper suggests five new contributions with respect to the state-of-the-art. First, the optimal tuning of cost-effective fuzzy controllers represented by Takagi–Sugeno–Kang proportional-integral fuzzy controllers (TSK PI-FCs) is carried out using a ...
Radu-Emil Precup, Radu-Codrut David, Raul-Cristian Roman, Emil M. Petriu, Alexandra-Iulia Szedlak-Stinean   +4 more
doaj   +1 more source

Design Optimization of Soft Fabric Pneumatic Actuators

Advanced Intelligent Systems, EarlyView.
This study presents a systematic optimization framework for elongating and bending fabric‐based soft pneumatic actuators. After a preliminary design‐space reduction, the framework minimizes energy consumption under mechanical performance constraints by integrating validated finite element modeling with statistical surrogate models. Optimal designs were
Grigorios M. Chatziathanasiou, Konstantina Tsintzira, Panagiotis Polygerinos   +2 more
wiley   +1 more source

Designing a Draft for a Metaheuristic Curriculum Evaluation Model (MCEM) Based on the Examination of Various Metaheuristic Artificial Intelligence Optimization Applications

International Journal of Turkish Education Sciences
This paper explores the integration of metaheuristic artificial intelligence (AI) optimization algorithms into the process of curriculum evaluation, proposing a novel approach that could enhance educational outcomes.
Volkan Duran, Gülay Ekici
doaj   +1 more source

Analysis of Uncertainty Influence in the Design of Interval Type‐3 Fuzzy Controllers With Type‐3 Fuzzy Harmony Search: The Case of the Water Tank

AI &Innovation, EarlyView.
ABSTRACT Nonlinear control systems are an integral part of complex engineering systems. The main difference from linear systems is their ability to adapt to changes and unpredictable conditions. These systems exhibit behaviors that cannot be predicted by simple linear equations, making them essential for applications requiring precise control over a ...
Cinthia Peraza, Patricia Ochoa, Oscar Castillo, Patricia Melin   +3 more
wiley   +1 more source

Optimizing Machine Learning Algorithms for Landslide Susceptibility Mapping along the Karakoram Highway, Gilgit Baltistan, Pakistan: A Comparative Study of Baseline, Bayesian, and Metaheuristic Hyperparameter Optimization Techniques

Sensors, 2023
Algorithms for machine learning have found extensive use in numerous fields and applications. One important aspect of effectively utilizing these algorithms is tuning the hyperparameters to match the specific task at hand. The selection and configuration
Farkhanda Abbas, Feng Zhang, Muhammad Ismail, Garee Khan, Javed Iqbal, Abdulwahed Fahad Alrefaei, Mohammed Fahad Albeshr   +6 more
doaj   +1 more source

Diabetic Retinopathy Classification With Convolutional Neural Networks Designed by the Fuzzy Grey Wolf Optimizer With Parameter Adaptation

AI &Innovation, EarlyView.
ABSTRACT The detection and classification of diseases have become a field of interest for artificial intelligence in recent years, where the development of methods and models that allow support for specialists in different health fields has allowed early detection of diseases and the provision of timely treatment to patients.
Rodrigo Cordero‐Martínez, Daniela Sánchez, Patricia Melin   +2 more
wiley   +1 more source

Elephant Herding Optimization: Variants, Hybrids, and Applications

Mathematics, 2020
Elephant herding optimization (EHO) is a nature-inspired metaheuristic optimization algorithm based on the herding behavior of elephants. EHO uses a clan operator to update the distance of the elephants in each clan with respect to the position of a ...
Juan Li, Hong Lei, Amir H. Alavi, Gai-Ge Wang   +3 more
doaj   +1 more source

Comparative Study on the Synthesis of Path-Generating Four-Bar Linkages Using Metaheuristic Optimization Algorithms

Applied Sciences, 2022
Four-bar linkages are one of the most widely used mechanisms in industries. This paper presents a comparative study on the accuracy and efficiency of the optimum synthesis of path-generating four-bar linkages using five metaheuristic optimization ...
Yaw-Hong Kang, Jau-Wen Lin, Wei-Chen You
doaj   +1 more source

Operations Research‐Based Formalisation and Design of Sustainable Reverse Logistics for E‐Waste Supply Chains

Business Strategy and the Environment, EarlyView.
ABSTRACT This study demonstrates how a profitable, lean, and environmentally responsible e‐waste reverse logistics system can be designed using integrated Operations Research (OR) techniques. Addressing the growing urgency of responsible consumption (UN SDG 12) and the projected rise of the e‐waste sector to USD 137.60 billion by 2029, the research ...
Sheeba Pathak, Hajar Fatorachian
wiley   +1 more source

Proposal of a nonparametric optimization method based on evolutionary process evaluation through differentiation (Validation of benchmark function and hysteresis curve identification)

Nihon Kikai Gakkai ronbunshu
Recent advancements in digitalization have resulted in the daily collection of vast amounts of data. To capitalize on this wealth of information, it is imperative to address multivariate issues, many of which are classified as NP-hard problems.
Shuya AKAIWA, Tsuyoshi FUKASAWA, Satoshi FUJITA   +2 more
doaj   +1 more source