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ANALISIS DAN IMPLEMENTASI
PENYELESAIAN MASALAH OPTIMISASI TANPA KENDALA
PADA PERSAMAAN NON LINEAR
DENGAN ALGORITMA GENETIK
ADE SUPRIYADI (2003) | Skripsi | Teknik Informatika , Teknik Informatika
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Ringkasan
Operation research analysts, engineers, managers, and planners are traditionally confronted by problems that need solving. Existing problems usually are intended to achieve an optimal reault. It is called optimization problems. Optimization is the act of obtaining the best result under given circumstances.
When high-speed digital computers render implementation of optimization procedures possible and further research is sttimulated to develop new methods. Spectacular advances then followed, generating a massive literature on optimization techniques. This edvancement also results in the emergence of several well-defined new areas in optimization theory.
Genetic algorithm is one of successful method in solving the problem of optimization.
Ringkasan Alternatif
Operation research analysts, engineers, managers, and planners are traditionally confronted by problems that need solving. Existing problems usually are intended to achieve an optimal reault. It is called optimization problems. Optimization is the act of obtaining the best result under given circumstances.
When high-speed digital computers render implementation of optimization procedures possible and further research is sttimulated to develop new methods. Spectacular advances then followed, generating a massive literature on optimization techniques. This edvancement also results in the emergence of several well-defined new areas in optimization theory.
Genetic algorithm is one of successful method in solving the problem of optimization.