A Time-Efficient Competitive Pokemon Team-Building Algorithm

A Time-Efficient Competitive Pokemon Team-Building Algorithm

Reijm, H.

Hart, K.P. (mentor)

Electrical Engineering, Mathematics and Computer Science

Delft Institute of Applied Mathematics

2016-06-30

The Pokemon video game franchise is based on players, also known as trainers, capturing and battling with fictitious creatures called Pokemon. Competitive Pokemon battling is a complicated business. Before even stepping into the arena, a trainer must design a competitively viable team of six Pokemon to battle with. This task is a difficult one because there are currently 721 species of Pokemon to construct a team from, and new Pokemon are revealed every year. The author therefore developed the Score-Based Pokemon Analysis algorithm, also known as SBPA, to aid users in easily and quickly designing new Pokemon teams. The SBPA algorithm relies heavily on user interaction, and therefore requires the user to have already chosen at least one Pokemon to build his/her team around. The algorithm then analyzes the Pokemon the user has already chosen and returns a selection of Pokemon that would best further the development of the team. The user then chooses another team member, and the process is repeated until the user has developed his/her team. The SBPA algorithm analyzes the inputted team using three factors: Base Statistics, Typing, and the Popularity Factor. These three factors are then combined to determine the best potential team members per iteration. The algorithm focuses not only on user interactivity, but also on time efficiency in order to provide valuable information to the user in a time frame that would be impossible to a technologically unaided trainer. As a cost for its speed and user-friendliness, SBPA is less accurate in determining the absolutely optimal team than certain other algorithms. However, when considering the target market of the algorithm, the author found these compromises worthwhile.

http://resolver.tudelft.nl/uuid:711cafaa-b2dc-44e9-a9ba-c36c640c7b56

Student theses

bachelor thesis

(c) 2016 Reijm, H.