Analyzing the computational complexity of evolutionary algorithms (EAs) for binary search spaces has significantly informed our understanding of EAs in general. With this paper, ...
Abstract. We discuss the problem of model selection in Genetic Programming using the framework provided by Statistical Learning Theory, i.e. Vapnik-Chervonenkis theory (VC). We pre...
This paper examines the behavioral phenomena that occur with the tuning of the binomial-3 problem. Our analysis identifies a distinct set of phenomena that may be generalizable to...
Omer A. Chaudhri, Jason M. Daida, Jonathan C. Khoo...
—In this paper we used genetic algorithms to1 find the solution of game theory. We proposed new method foe solving game theory and find the optimal strategy for player A or playe...
Ismail A. Ismail, Nabawia A. El Ramly, M. M. El Ka...
Genetic Programming (GP) is a method of automatically inducing programs by representing them as parse trees. In theory, programs in any computer languages can be translated to par...