A survey of autonomous driving frameworks and simulators
Since autonomous driving (AD) is one of the most critical problems in the automobile
industry, it has garnered the interest of many academics in recent years. An AD framework or …
industry, it has garnered the interest of many academics in recent years. An AD framework or …
Identification of Heart Diseases using Novel Machine Learning Method
R Veeranjaneyulu, S Boopathi… - … on Advances in …, 2023 - ieeexplore.ieee.org
This study aims to enhance feature variety and organizationprocesses for heart disease
prediction using three different approaches. The integration of machine learning perception …
prediction using three different approaches. The integration of machine learning perception …
Optimal fuzzy controller design for autonomous robot path tracking using population-based metaheuristics
In this work, we propose, through the use of population-based metaheuristics, an
optimization method that solves the problem of autonomous path tracking using a rear …
optimization method that solves the problem of autonomous path tracking using a rear …
Distributed and asynchronous population-based optimization applied to the optimal design of fuzzy controllers
Designing a controller is typically an iterative process during which engineers must assess
the performance of a design through time-consuming simulations; this becomes even more …
the performance of a design through time-consuming simulations; this becomes even more …
Evolving evaluation functions for collectible card game AI
In this work, we presented a study regarding two important aspects of evolving feature-
based game evaluation functions: the choice of genome representation and the choice of …
based game evaluation functions: the choice of genome representation and the choice of …
Evolving artificial neural networks for multi-objective tasks
Neuroevolution represents a growing research field in Artificial and Computational
Intelligence. The adjustment of the network weights and the topology is usually based on a …
Intelligence. The adjustment of the network weights and the topology is usually based on a …
Overtaking Uncertainty With Evolutionary TORCS Controllers: Combining BLX With Decreasing Operator and Grand Prix Selection
Evolution is a powerful problem-solving technique, extensively used for designing racing car
controllers, but with a series of challenges: an evaluation function that can separate the best …
controllers, but with a series of challenges: an evaluation function that can separate the best …
Mixing population-based metaheuristics: An approach based on a distributed-queue for the optimal design of fuzzy controllers
In this work, we present a distributed platform to execute multi-population metaheuristics. As
proof of concept, we present an implementation using two metaheuristics: Genetic …
proof of concept, we present an implementation using two metaheuristics: Genetic …
Temperature Controller Using the Takagi-Sugeno-Kang Fuzzy Inference System for an Industrial Heat Treatment Furnace
The industrial welding industry has a high energy consumption due to the heating processes
carried out. The heat treatment furnaces used for reheating equipment made of steel require …
carried out. The heat treatment furnaces used for reheating equipment made of steel require …
Applying evolutionary methods for the optimization of an intrusion detection system to detect anomalies in network traffic flows
AM Mora, P Merino, D Hernández… - Advances in …, 2024 - Elsevier
Cybersecurity is a major concern nowadays, involving big amounts of resources in security
companies, as well as in the academia. One of the main research lines in this scope are …
companies, as well as in the academia. One of the main research lines in this scope are …