Safril, Deny (2015) Pergerakan kelompok NPC menuju target berbasis artificial fish swarm algorithm. Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Saat ini game RTS merupakan game yang paling diminati untuk dimainkan.
Penelitian ini merupakan penelitian untuk membuat simulasi pergerakan kelompok
NPC yang mampu mengatasi keterbatasan jangkaun visual agen mendeteksi atau
mengetahui target yang dituju. Agen otonom bergerak secara acak untuk sampai
menemukan target. Pada saat bergerak menuju target NPC dirancang bergerak
kearah jangkauan visual yang dipunyai dengan step yang dipunyainya sehingga
dapat menemukan targetnya, namun tetap memperhitungkan posisi NPC lain agar
tidak terjadi tabrakan dan harus mampu menghindari halangan. Artificial Fish
Swarm Algorithm dipilih dalam penelitian ini karena meniru konsep dari jangkauan
visual dari ikan yang terbatas ketika bergerak dalam mencari makanan di sekitar
lingkungan hidupnya.
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Currently RTS games is the most attractive game to play. This research is
to create a simulation of the movement of groups of NPCs are able to overcome the
limitations of visual range agents detect or know the intended target. Autonomous
agents move randomly for up to find the target. At the time of moving towards the
target NPC is designed to move towards the visual range that belongs to the step
that belongs to so that it can find its target, while still taking into account the
position of the other NPC in order to avoid collisions and to be able to avoid
obstacles. Artificial Fish Swarm Algorithm chosen in this study because it mimics
the concept of visual range of fish is limited when the move in search of food in the
surrounding environment.
Item Type: | Thesis (Masters) |
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Additional Information: | RTE 006.678 Saf p |
Uncontrolled Keywords: | agen otonom, NPC, jangkuan visual, step, artificial fish swarm algorithm ================================================================================================== autonomous agents, NPC, visual range, step, artificial fish swarm algorithm |
Subjects: | Q Science > QA Mathematics > QA336 Artificial Intelligence |
Divisions: | Faculty of Electrical Technology > Electrical Engineering > 20101-(S2) Master Thesis |
Depositing User: | - Taufiq Rahmanu |
Date Deposited: | 02 Apr 2019 02:52 |
Last Modified: | 02 Apr 2019 02:52 |
URI: | http://repository.its.ac.id/id/eprint/62675 |
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