A COMPARISON OF PARTICLE SWARM
OPTIMIZATION AND DIFFERENTIAL EVOLUTION
Vu Truong Vu
Ho Chi Minh City University of Transport, Faculty of Civil Engineering
No.2, D3 Street, Ward 25, Binh Thanh District, HCMC, Viet Nam
vutruongvu@gmail.com
ABSTRACT
Two modern optimization methods including Particle Swarm Optimization and Differential Evolution are
compared on twelve constrained nonlinear test functions. Generally, the results show that Differential
Evolution is better than Particle Swarm Optimization in terms of high-quality solutions, running time and
robustness.
KEYWORDS
Particle Swarm Optimization, Differential Evolution
ORIGINAL SOURCE URL :http://airccse.org/journal/ijsc/papers/3312ijsc02.pdf
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