Implementasi Algoritma Genetika Untuk Menentukan Solusi Pada Optimisasi Nonlinier
Abstract
Determination of a set solution of nonlinear optimization problem is a complicated task,by that meansthe an exact method or technique is necessary. Genetic Algorithm is one of the most searching method or technique that has developed in the last fewdecade. Finding a set solution of nonlinear optimization problem with Genetic Algorithm technique is put into effect by considering parameter of objective function like as chromosome of living organisms, all living organisms whose have the best fitness will be survived and has ever evolution and reproduction an offsprings as a newgeneration.These generation certainly has have better fitness. By considering that an objective function as a fitness value thus optimum value will be obtained at the moment of specific generation full filled theterminating criteria. Chromosome of population in these generation will be represent a set optimum solution of nonlinier optimization.
An author who publishes in the Jurnal Darma Agung agrees to the following terms:
- Author retains the copyright and grants the journal the right of first publication of the work simultaneously licensed under the Creative Commons Attribution-ShareAlike 4.0 License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal
- Author is able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book) with the acknowledgement of its initial publication in this journal.
- Author is permitted and encouraged to post his/her work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of the published work (See The Effect of Open Access).