Results 191 to 200 of about 250,700 (315)

Method for Designing Geometry of Vibrator of Linear Ultrasonic Motor Using Evolutionary Computation. 1st Report, Formulation and Results of Generating Basic Geometry.

, 2001
Masao Hashimoto, Go Shibasaki, Takashi Maéno   +2 more
openalex   +2 more sources

Optimization and Assessment of Wavelet Packet Decompositions with Evolutionary Computation [PDF]

, 2003
Thomas Schell, Andreas Uhl
openalex   +1 more source

Evolutionary Automata and Deep Evolutionary Computation

Evolution by natural selection, which is one of the most compelling themes of modern science, brought forth evolutionary algorithms and evolutionary computation, applying mechanisms of evolution in nature to various problems solved by computers. In this paper we concentrate on evolutionary automata that constitute an analogous model of evolutionary ...
openaire   +2 more sources

Optimized Time–Frequency Analysis for Induction Motor Fault Detection Using Hybrid Differential Evolution and Deep Learning Techniques

International Journal of Adaptive Control and Signal Processing, EarlyView.
Workflow of the parameter optimization process for ITSC fault detection, applying Differential Evolution optimization and the Smooth Pseudo Wigner‐Ville Distribution for signal processing. The optimized parameters are then used in the failure identification pipeline, which combines the signal processing with a YOLO‐based architecture for fault severity
Rafael Martini Silva, Avyner Lorran de Oliveira Vitor, Marcelo Favoretto Castoldi, Alessandro Goedtel, Wesley Angelino Souza   +4 more
wiley   +1 more source

A TOPSIS-Based Improved Weighting Approach With Evolutionary Computation

Transactions on Fuzzy Sets and Systems
Although optimization of weighted objectives is ubiquitous in production scheduling, the literature concerning the determination of weights used in these objectives is scarce.
Mithat Zeydan, Murat Güngör, Burak Urazel   +2 more
doaj  

An Evolutionary Computation Approach to Examine Functional Brain Plasticity. [PDF]

Front Neurosci, 2016
Roy A, Campbell C, Bernier RA, Hillary FG.   +3 more
europepmc   +1 more source

Data‐Driven Distributed Safe Control Design for Multi‐Agent Systems

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents a data‐driven control barrier function (CBF) technique for ensuring safe control of multi‐agent systems (MASs) with uncertain linear dynamics. A data‐driven quadratic programming (QP) optimization is first developed for CBF‐based safe control of single‐agent systems using a nonlinear controller. This approach is then extended to the
Marjan Khaledi, Bahare Kiumarsi
wiley   +1 more source

Evolutionary Computation for Sensor Planning: The Task Distribution Plan [PDF]

, 2003
Enrique Dunn, Gustavo Olague
openalex   +1 more source

Optimal Synthesis of Four-Bar Linkage Path Generation through Evolutionary Computation with a Novel Constraint Handling Technique. [PDF]

Comput Intell Neurosci, 2018
Sleesongsom S, Bureerat S.
europepmc   +1 more source

Making sense of the metabolome using evolutionary computation: seeing the wood with the trees [PDF]

, 2004
Royston Goodacre
openalex   +1 more source