Results 31 to 40 of about 123,558 (314)

Population Dynamics in Genetic Programming for Dynamic Symbolic Regression

Applied Sciences
This paper investigates the application of genetic programming (GP) for dynamic symbolic regression (SR), addressing the challenge of adapting machine learning models to evolving data in practical applications.
Philipp Fleck, Bernhard Werth, Michael Affenzeller   +2 more
doaj   +1 more source

Continuous dynamic problem generators for evolutionary algorithms

, 2007
This article is posted here with permission from IEEE - Copyright @ 2007 IEEEAddressing dynamic optimization problems has attracted a growing interest from the evolutionary algorithm community in recent years due to its importance in the applications of ...
Yang, S, Tinos, Renato, Shengxiang Yang, Tinos, R, Renato Tinos, Yang, Shengxiang   +5 more
core   +1 more source

Adaptive Super-Twisting Sliding Mode Speed Controller for Field-Oriented Control of PMSM Drive Under Constraints of Disturbance Term Torque

IEEE Access
A speed controller based on an adaptive super-twisting sliding mode control algorithm (AST) is designed for field-oriented control (FOC) of permanent magnet synchronous motor (PMSM) drive.
Hau Huu Vo, Son Hai Hoang, Vo-Tan Phuoc
doaj   +1 more source

Chaos-Based Optimization - A Review

Journal of Advanced Engineering and Computation, 2017
This paper discusses the utilization of the complex chaotic dynamics given by the selected time-continuous chaotic systems as well as by the discrete chaotic maps, as the chaotic pseudo-random number generators and driving maps for the chaos based ...
Roman Senkerik, Ivan Zelinka, Michal Pluhacek   +2 more
doaj   +1 more source

Explicit memory schemes for evolutionary algorithms in dynamic environments

, 2007
Copyright @ 2007 Springer-VerlagProblem optimization in dynamic environments has atrracted a growing interest from the evolutionary computation community in reccent years due to its importance in real world optimization problems.
Yang, S, Shengxiang Yang, Yang, Shengxiang   +2 more
core   +1 more source

Decentralized Frequency Regulation by Using Novel PID Sliding Mode Structure in Multi-Area Power Systems With Hydropower Turbines

IEEE Access
This paper introduces a novel sliding mode control (SMC) design utilizing a Proportional-Integral-Derivative (PID) Sliding Surface (SS) for frequency regulation in multi-area electrical power systems (EPSs) with hydropower turbines, accounting for random
Dao Trong Tran, Anh-Tuan Tran, van van Huynh, Ton Duc do   +3 more
doaj   +1 more source

Orbit Transfer Manoeuvres as a Test Benchmark for Comparison Metrics of Evolutionary Algorithms

, 2009
In the present paper some metrics for evaluating the performance of evolutionary algorithms are considered. The capabilities of two different optimisation approaches are compared on three test cases, represented by the optimisation of orbital transfer ...
G. Avanzini, Avanzini, Giulio, E.A. Minisci, Minisci, Edmondo, Avanzini, G., Minisci, E.A., E. A. MINISCI   +6 more
core   +1 more source

The evolutionary forest algorithm [PDF]

Bioinformatics, 2007
AbstractMotivation: Gene genealogies offer a powerful context for inferences about the evolutionary process based on presently segregating DNA variation. In many cases, it is the distribution of population parameters, marginalized over the effectively infinite-dimensional tree space, that is of interest.
Scotland C. Leman, Marcy K. Uyenoyama, Michael Lavine, Yuguo Chen   +3 more
openaire   +2 more sources

A Kalman Filter-Based Sliding Mode Frequency Regulator for Power Systems Under Multiple Communication Delays

IEEE Access
This paper proposes a novel load frequency control (LFC) scheme for multi-area thermal-hydro power systems (MATHPS) subject to multiple communication delays.
Anh-Tuan Tran, van van Huynh, Bang Le-Huy Nguyen, Jae Woong Shim, Ton Duc do   +4 more
doaj   +1 more source

Interactive Evolutionary Algorithms for Image Enhancement and Creation [PDF]

, 2014
Image enhancement and creation, particularly for aesthetic purposes, are tasks for which the use of interactive evolutionary algorithms would seem to be well suited.
Mist, Joseph James
core