In this paper we analyze the application of parallel and sequential evolutionary algorithms (EAs) to the automatic test data generation problem. The problem consists of automatica...
The development of successful metaheuristic algorithms such as local search for a difficult problems such as satisfiability testing (SAT) is a challenging task. We investigate an ...
This paper extends a previous model where we examined the markets’ microstructure dynamics by using Genetic Programming as a trading rule inference engine, and Self Organizing Ma...
Michael Kampouridis, Shu-Heng Chen, Edward P. K. T...
Research paper Purpose of this paper This paper describe an integrated hardware/software system based on Evolutionary Robotics and its application in Edutainment context. Design/me...
We present the first hardware-in-the-loop evolutionary optimization on an ornithopter. Our experiments demonstrate the feasibility of evolving flight through genetic algorithms an...