Date of Award
Spring 2017
Document Type
Thesis
Degree Name
Master of Science in Computer Engineering - (M.S.)
Department
Electrical and Computer Engineering
First Advisor
MengChu Zhou
Second Advisor
James M. Calvin
Third Advisor
Qing Liu
Abstract
A differential evolution (DE) algorithm is an evolutionary algorithm for optimization problems over a continuous domain. To solve high dimensional global optimization problems, this work investigates the performance of differential evolution algorithms
Recommended Citation
Chatterjee, Ishani, "Multi-population-based differential evolution algorithm for optimization problems" (2017). Theses. 17.
https://digitalcommons.njit.edu/theses/17
