Application of Evolutionary Algorithm

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Introduction
Evolutionary algorithm (EA) is defined as the set of purpose that used to solve any class of elements puzzle that related to the mathematical rules. Other than that, evolutionary algorithm is one of the problems solving to reduce or maximize a real function by analytically choosing the values of real or integer variables from interior of an allowed set. In artificial intelligence, an EA is a subgroup of evolutionary computation, a general population-based meta-experimental operation algorithm. An EA uses the procedure that inspired by biological progression, such as reproduction, mutation, recombination, and selection.

Application/Case Study
At the present time, games like Counter Strike Global Offensive and Life or Death 4 always are the most popular games in teenager’s life. Most of the games that nowadays is being popular in the teenager’s life commonly are develop by using Genetic Algorithm (GA). Nevertheless, by using the basic platform of games algorithm which is start from mini games and then into high radius games, interface and quality of the games are transform rapidly. For this case study, mini games are the main topic and an application is genetic algorithm and neural network. The full topic of this case study is Genetic Algorithm and Neural Network for Mini-Games.

Background/Review
For this case study, the main focuses of consideration are physical simulation and character control. Investigation of these issues on computer games used some games which are fitted to explore several aspects of the two main issues. Aim of this case study is also is to build up the controllers then the controller must be able to finish the explicit mission in the two games. The main objective of their case study is control...

... middle of paper ...

...lancing games test balance before adjustment.

Table 3

The set of the skills of the fire wizard is more powerful than the set of the skills of the ice wizard, as shown from the results. Researcher made some changes to the settings of the three skills gradually, and once a new setting is made, we performed the balance test to check whether or not the skill power of the two characters was balanced. And after we modified the settings and performed the balance test for a few times, we finally came up with a setting such that the skill power of the two characters was balanced. We decreased the attack power of ‘Fire Ball’ to Magical Attack Power × 401% + 414, increased the attack power of ‘Freezing Field’ to Magical Attack Power × 296% + 320, and increased the maximum damage hit to 3 hits of the skill ‘Blizzard’. Table 4 below shows the skill balancing after adjustment

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