ALGORITMA SEMUT PDF

Masters thesis, Institut Technology Sepuluh Nopember. Ant Colony Optimization ACO merupakan algoritma optimasi yang terinspirasi oleh tingkah laku semut dalam mencari makan. Karena keunggulan yang dimilikinya, ACO banyak digunakan untuk menyelesaikan permasalahan non-polinomial yang sulit, salah satunya adalah deteksi tepi pada citra. Penerapan ACO pada deteksi tepi telah terbukti berhasil dengan baik, akan tetapi metode penyebaran semut pada ACO sangat mempengaruhi tingkat akurasi.

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Masters thesis, Institut Technology Sepuluh Nopember. Ant Colony Optimization ACO merupakan algoritma optimasi yang terinspirasi oleh tingkah laku semut dalam mencari makan. Karena keunggulan yang dimilikinya, ACO banyak digunakan untuk menyelesaikan permasalahan non-polinomial yang sulit, salah satunya adalah deteksi tepi pada citra.

Penerapan ACO pada deteksi tepi telah terbukti berhasil dengan baik, akan tetapi metode penyebaran semut pada ACO sangat mempengaruhi tingkat akurasi. Pada ACO tradisional semut awal disebarkan secara acak. Kondisi ini dapat menyebabkan ketidakseimbangan distribusi semut yang kemudian mempengaruhi proses penemuan jalur pada deteksi tepi.

Berdasarkan permasalahan tersebut, modifikasi distribusi semut pada ACO diusulkan untuk mengoptimalkan penyebaran semut berdasarkan gradient.

Nilai gradient digunakan untuk menentukan penempatan semut. Metode yang diusulkan pada penelitian ini adalah dengan melakukan penyebaran semut berdasarkan nilai gradient. Semut tidak disebar secara acak, akan tetapi ditempatkan di gradient tertinggi. Cara ini diharapkan dapat digunakan untuk optimasi penemuan jalur. Hasil ini menunjukkan bahwa ACO modifikasi mampu menghasilkan citra keluaran yang lebih baik dibandingkan ACO tradisional yang sebaran semut awalnya dilakukan secara acak.

Because of its advantages, ACO is widely used to solve the difficult non-polynomial problems, one of them is image edge detection. Application of ACO on edge detection has been proven to work well, but the method of spreading ants in ACO greatly affects the accuracy. In traditional ACO, the initial ant randomly distributed. This condition can cause an imbalance ants distribution which can affect the path discovery process on edge detection.

Based on this problem, a modified ant distribution in ACO is proposed to optimize the deployment of ant based gradient. Gradient value is used to determine the placement of the ants.

Ants are not distributed randomly, but placed in the highest gradient. This method is expected to be used for optimization path discovery. These results indicate that the ACO modification capable of generating output image better than traditional ACO which ants are initially distributed randomly.

More information and software credits. Text Master Thesis. Tondo Indra Nyata.

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Algoritma Pembenaman Perlakuan Individu Semut (Agen) ke Dalam Sistem Koloni Semut.

Other thesis, University of Muhammadiyah Malang. Searching for shortest route can be done by using two methods; there are conventional method and heuristic method. Heuristic method is a technique used to improve the efficiency of the search process. This method is different when compared with conventional methods, which when compared to conventional methods tend to be more easily understood with logic that is used only by comparing the distance of each node and then find the shortest distance. Differences between heuristics and conventional methods on the results obtained, if the heuristic method is more varied and the necessary calculation time is shorter.

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Download full text Bahasa Indonesia, 16 pages. Hariyadi, M. Ant is conspecific of creation insect of having prayer beads diligent God to God. If we check and studies behavior of ant hence would ever greater of our love to God as well as we would increasingly pays attention to fellow being which his its must be each other remind and looks after, tries seeing behavior of ant that is in harmony and has soul a friend at court a real height. Ant animal haves the power of remarkable in realizing its the intention to reach for what wanted, s he have never owned go against the stomach and hopeless. So ant is animal taken as example of peer in the case of strong ambition and intention doing not know hopeless word. Ant has a real extraordinary ability in wading river that is by the way of wading river and swims, though not a few of they submerged brought river current, but with all energy?

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