446 search results - page 6 / 90 » Using a genetic algorithm approach to solve the dynamic chan... |
ISCC
2006
IEEE
14 years 1 months ago
2006
IEEE
Genetic Algorithms are very powerful search methods that are used in different optimization problems. Parallel versions of genetic algorithms are easily implemented and usually in...
EMO
2003
Springer
14 years 21 days ago
2003
Springer
Abstract. In this paper, we propose an approach for solving hierarchical multi-objective optimization problems (MOPs). In realistic MOPs, two main challenges have to be considered:...
TEC
2008
13 years 7 months ago
2008
In this paper, we propose a technique based on genetic programming (GP) for meshfree solution of elliptic partial differential equations. We employ the least-squares collocation pr...
ICANNGA
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. A new Genetic Programming variant called Liquid State Genetic Programming (LSGP) is proposed in this paper. LSGP is a hybrid method combining a dynamic memory for storing...
CLOUDCOM
2010
Springer
13 years 5 months ago
2010
Springer
Inspired by Darwinian evolution, a genetic algorithm (GA) approach is one of the popular heuristic methods for solving hard problems, such as the Job Shop Scheduling Problem (JSSP...