— This paper discusses utilizing genetic algorithms to automatically design a suitable sensor morphology and controller for a given task in categories of environments. The type o...
A new model for automatic generation of Evolutionary Algorithms (EAs) by evolutionary means is proposed in this paper. The model is based on a simple Genetic Algorithm (GA). Every...
With traditional testing, the test case has no control over non-deterministic scheduling decisions, and thus errors dependent on scheduling are only found by pure chance. Java Pat...
A genetic algorithm for the longest common subsequence problem encodes candidate sequences as binary strings that indicate subsequences of the shortest or first string. Its fitnes...
The generation of profitable trading rules for Foreign Exchange (FX) investments is a difficult but popular problem. The use of Machine Learning in this problem allows us to obtai...
Akinori Hirabayashi, Claus de Castro Aranha, Hitos...