Sign Up to like & get
recommendations!
0
Published in 2019 at "Soft Computing"
DOI: 10.1007/s00500-018-3422-4
Abstract: Evolutionary programming has been widely applied to solve global optimization problems. Its performance is related to both mutation operators and fitness landscapes. In order to make evolutionary programming more efficient, its mutation operator should adapt…
read more here.
Keywords:
evolutionary programming;
hybrid evolutionary;
programming;
adaptive mutation ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2017 at "Electric Power Components and Systems"
DOI: 10.1080/15325008.2017.1376234
Abstract: Abstract This paper develops and suggests fast convergence evolutionary programming (FCEP) for solving multi-area economic dispatch problem with tie-line constraints, transmission losses, multiple fuels, valve point effect, and disallowed operating region. Evolutionary programming (EP), a…
read more here.
Keywords:
programming;
multi area;
evolutionary programming;
fast convergence ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2020 at "Monthly Weather Review"
DOI: 10.1175/mwr-d-19-0346.1
Abstract: AbstractA statistical–dynamical tropical cyclone (TC) intensity model is developed from a large ensemble of algorithms through evolutionary programming (EP). EP mimics the evolutionary principles o...
read more here.
Keywords:
intensity model;
evolutionary programming;
cyclone intensity;
tropical cyclone ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2021 at "Applied Sciences"
DOI: 10.3390/app11062717
Abstract: The aim of the current paper is to present a mimetic algorithm called the chaotic evolutionary programming Powell’s pattern search (CEPPS) algorithm for the solution of the multi-fuel economic load dispatch problem. In the CEPPS…
read more here.
Keywords:
evolutionary programming;
chaotic evolutionary;
problem;
cepps ... See more keywords