Results 31 to 40 of about 5,786,914 (366)
Population Dynamics in Genetic Programming for Dynamic Symbolic Regression
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+2 more
doaj +1 more source
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+3 more
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Standard Steady State Genetic Algorithms Can Hillclimb Faster Than Mutation-Only Evolutionary Algorithms [PDF]
Explaining to what extent the real power of genetic algorithms (GAs) lies in the ability of crossover to recombine individuals into higher quality solutions is an important problem in evolutionary computation.
Dogan Corus, P. S. Oliveto
semanticscholar +1 more source
Autonomous Evolutionary Algorithm [PDF]
Evolutionary algorithms (EA) are randomized heuristic search methods based on the principles of natural evolution (Banzhaf et al., 1998; Goldberg, 1989; Holland, 1975; Back, 1996; Koza, 1992). If we know how to describe the problem using the terminology of artificial evolution, the EAs are quite easy to apply.
openaire +4 more sources
Evolutionary algorithms for dynamic optimization problems: workshop preface [PDF]
Copyright @ 2005 ...
Branke, J, Yang, S
core +1 more source
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+4 more
doaj +1 more source
Chaos in a System with an Absolute Nonlinearity and Chaos Synchronization
A system with an absolute nonlinearity is studied in this work. It is noted that the system is chaotic and has an adjustable amplitude variable, which is suitable for practical uses.
Victor Kamdoum Tamba+3 more
doaj +1 more source
Non-uniform cellular genetic algorithms [PDF]
In this paper, we introduce the concept of non-uniform cellular genetic algorithm, in which a number of parameters that affect the operation of genetic operators is dependent on the location of the cells of a given cellular space.
N. M. Ershov
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A Chaotic System with Infinite Equilibria and Its S-Box Constructing Application
Systems with many equilibrium points have attracted considerable interest recently. A chaotic system with a line equilibrium has been studied in this work. The system has infinite equilibria and exhibits coexisting chaotic attractors.
Xiong Wang+5 more
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Antimicrobial resistance (AMR) is of huge importance, resulting in over 1 million deaths each year. Here, we describe how a new drug, enmetazobactam, designed to help fight resistant bacterial diseases, inhibits a key enzyme (GES‐1) responsible for AMR. Our data show it is a more potent inhibitor than the related tazobactam, with high‐level computation
Michael Beer+10 more
wiley +1 more source