000			01549nam a22002773a 4500
001			UPMIN-00004218153
003			UPMIN
005			20230117165955.0
008			221017b |||||||| |||| 00| 0 eng d
040			_aDLC _cUPMin _dupmin
041			_aeng
090		0	_aLG993.5 2009 _bC6 J66
100			_aJopson, Maria Andrea Aizza Galon. _91397
245			_aParticles swarm optimization-simulated annealing (PSO-SA) with mass extinction applied to nonlinear optimization problems / _cMaria Andrea Aizza Galon Jopson.
260			_c2009
300			_a83 leaves.
502			_aThesis (BS Computer Science) -- University of the Philippines Mindanao, 2009
520	3		_aParticle 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.
650	1	7	_aOptimization. _9733
650	1	7	_aParticle Swarm Optimization-Simulated Annealing (PSO-SA) _91398
650	1	7	_aSimulated annealing. _91370
658			_aUndergraduate Thesis _cCMSC200, _2BSCS
905			_aFi
905			_aUP
942			_2lcc _cTHESIS
999			_c2331 _d2331