文档介绍：Turk J Elec Engin, , 2004,
c TUB¨ ITAK˙
A Simple and Global Optimization Algorithm for
Engineering Problems: Differential Evolution
Algorithm
Dervi¸s KARABOGA˘
Department puter Engineering, Erciyes University, Kayseri-TURKEY
e-mail:******@
Sel¸cuk OKDEM¨
Department puter Engineering, Erciyes University, Kayseri-TURKEY
e-mail:******@
Abstract
Differential Evolution (DE) algorithm is a new heuristic approach mainly having three advantages;
finding the true global minimum regardless of the initial parameter values, fast convergence, and using
few control parameters. DE algorithm is a population based algorithm like ic algorithms using
similar operators; crossover, mutation and selection. In this work, we pared the performance
of DE algorithm to that of some other well known versions of ic algorithms: PGA, Grefensstette,
Eshelman. In simulation studies, De Jong’s test functions have been used. From the simulation results, it
was observed that the convergence speed of DE is significantly better than ic algorithms. Therefore,
DE algorithm seems to be a promising approach for engineering optimization problems.
Key Words: Optimization, ic Algorithm, Differential Evolution, Test Functions.
1. Introduction
In the optimization process of a difficult task, the method of first choice will usually be a problem specific