TY  - BOOK
AU  - Jopson, Maria Andrea Aizza Galon.
TI  - Particles swarm optimization-simulated annealing (PSO-SA) with mass extinction applied to  nonlinear optimization problems / 
PY  - 2009///
KW  - Optimization
KW  - Particle Swarm Optimization-Simulated Annealing (PSO-SA)
KW  - Simulated annealing
KW  - Undergraduate Thesis
KW  - CMSC200,
KW  - BSCS
N1  - Thesis (BS Computer Science) -- University of the Philippines Mindanao, 2009
N2  - Particle Swarm Optimization ? Simulated Annealing (PSO-SA) with Mass Extinction is an extension of Xie's et.al.?s (2002), which searches for a hybrid technique that will get an optimal solution in numerical problems in evolutionary optimization research. PSO-SA with Mass Extinction is a combination of heuristic, meta-heuristic and evolutionary algorithms that aims to solve underlying problems in solving underlying problems in solving evolutionary problems. This hybrid algorithm will be tested three benchmark evolutionary functions namely; Rosenbrock function, Rastrigin function and Griewank function
ER  -