We describe sequential and parallel algorithms that approximately solve linear programs with no negative coefficients (a.k.a. mixed packing and covering problems). For explicitly ...
This paper presents a novel approach to the problem of automatic music transcription using electronic synthesis with genetic algorithms. Although the problem is well known and diļ...
Most DNA computing algorithms for mathematical problems start with combinatorial generation of an initial pool. Several methods for initialpool generation have been proposed, inclu...
Ji Youn Lee, Hee-Woong Lim, Suk-In Yoo, Byoung-Tak...
Abstract. This work describes the use of genetic algorithms for automating the photogrammetric network design process. When planning a photogrammetric network, the cameras should b...
In this paper we study a number of issues related to the design of a cellular genetic algorithm (cGA) for multiobjective optimization. We take as an starting point an algorithm fol...