Differential Evolution: A review of more than two decades of research
Since its inception in 1995, Differential Evolution (DE) has emerged as one of the most
frequently used algorithms for solving complex optimization problems. Its flexibility and …
frequently used algorithms for solving complex optimization problems. Its flexibility and …
Gradient-based optimizer: A new metaheuristic optimization algorithm
In this study, a novel metaheuristic optimization algorithm, gradient-based optimizer (GBO) is
proposed. The GBO, inspired by the gradient-based Newton's method, uses two main …
proposed. The GBO, inspired by the gradient-based Newton's method, uses two main …
Sine cosine grey wolf optimizer to solve engineering design problems
Balancing the exploration and exploitation in any nature-inspired optimization algorithm is
an essential task, while solving the real-world global optimization problems. Therefore, the …
an essential task, while solving the real-world global optimization problems. Therefore, the …
A novel interdependence based multilevel thresholding technique using adaptive equilibrium optimizer
The multilevel thresholding is one important operation in computer vision, which is a subfield
of artificial intelligence (AI), used to understand and interpret the data in the real world. The …
of artificial intelligence (AI), used to understand and interpret the data in the real world. The …
A new type-3 fuzzy predictive controller for MEMS gyroscopes
This study presents a new nonlinear model-based predictive control scheme using fractional-
order calculus and interval type-3 (IT3) fuzzy logic systems (FLSs) for Micro-Electro …
order calculus and interval type-3 (IT3) fuzzy logic systems (FLSs) for Micro-Electro …
Experiment-based approach to teach optimization techniques
This article proposes an approach based on experiments to teach optimization technique
(OT) courses in the Systems Engineering curricula at undergraduate level. Artificial …
(OT) courses in the Systems Engineering curricula at undergraduate level. Artificial …
A review on optimization of fuzzy controller parameters in robotic applications
M Zangeneh, E Aghajari… - IETE Journal of Research, 2022 - Taylor & Francis
The fuzzy logic controller is widely used in different areas due to the unique simplicity and
different abilities as it has such a good response to complex and high-order systems. In …
different abilities as it has such a good response to complex and high-order systems. In …
Towards asymmetric uncertainty modeling in designing General Type-2 Fuzzy classifiers for medical diagnosis
One of the most studied application areas of intelligent systems is the classification area,
and this is because classification covers a wide range of real-world problems. Some …
and this is because classification covers a wide range of real-world problems. Some …
[HTML][HTML] Towards activation function search for long short-term model network: A differential evolution based approach
K Vijayaprabakaran, K Sathiyamurthy - Journal of King Saud University …, 2022 - Elsevier
Abstract In Deep Neural Networks (DNNs), several architectures had been proposed for the
various complex tasks such as Machine Translation, Natural Language processing and time …
various complex tasks such as Machine Translation, Natural Language processing and time …
An adaptive dynamic multi-swarm particle swarm optimization with stagnation detection and spatial exclusion for solving continuous optimization problems
X Yang, H Li, Y Huang - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Particle swarm optimization (PSO) is a simple and efficient optimization method that has
been used in many fields. However, PSO has some flaws including premature convergence …
been used in many fields. However, PSO has some flaws including premature convergence …