Computer ScienceMathematics

Ferrante Neri, V. Tirronen

2009.2.10Memetic Computing

DOI: 10.1007/s12293-009-0008-9

tlooto Summary

The efficiency of the proposed SFLSDE seems to be very high especially for large scale problems and complex fitness landscapes and three other modern DE based metaheuristic for a large and varied set of test problems.

Abstract

Abstract is not available.

Citation format

NERI, Ferrante; TIRRONEN, V. Scale factor local search in differential evolution. Memetic Computing, 2009, 1: 153–171.