30 search results - page 1 / 6 » A Comparative Study of Five Parallel Genetic Algorithms Usin... |
IPPS
1998
IEEE
13 years 8 months ago
1998
IEEE
Parallel genetic algorithms (PGAs) have been developed to reduce the large execution times that are associated with serial genetic algorithms (SGAs). They have also been used to s...
GECCO
2009
Springer
13 years 11 months ago
2009
Springer
This paper studies the multi-objectivization of single-objective optimization problems (SOOP) using evolutionary multi-objective algorithms (EMOAs). In contrast to the single-obje...
PPSN
2010
Springer
13 years 2 months ago
2010
Springer
We present a hybrid Genetic Algorithm that incorporates the Generalized Partition Crossover (GPX) operator to produce an algorithm that is competitive with the state of the art for...
CEC
2003
IEEE
13 years 9 months ago
2003
IEEE
Abstract- Simulated annealing (SA) is an effective general heuristic method for solving many combinatorial optimization problems. This paper deals with two problems in SA. One is ...
ANTSW
2006
Springer
13 years 8 months ago
2006
Springer
There are two reasons for parallelizing a metaheuristic if one is interested in performance: (i) given a fixed time to search, the aim is to increase the quality of the solutions f...