Genetic Programming(GP) can obtain a program structure to solve complex problem. This paper presents a new form of Genetic Programming, Function Sequence Genetic Programming (FSGP)...
In this paper we introduce two new methods for solving binary quadratic problems. While spectral relaxation methods have been the workhorse subroutine for a wide variety of comput...
The timed concurrent constraint programming language (tccp in short) was introduced for modeling reactive systems. This language allows one to model in a very intuitive way typica...
Recently, enabling modularity aspects in Answer Set Programming (ASP) has gained increasing interest to ease the composition of program parts to an overall program. In this paper, ...
Minh Dao-Tran, Thomas Eiter, Michael Fink, Thomas ...
Parallel programming is seen as an effective technique to improve the performance of computationally-intensive programs. This is done at the cost of increasing the complexity of t...
John Anvik, Jonathan Schaeffer, Duane Szafron, Kai...