136 search results - page 17 / 28 » Applying Genetic Algorithms to Solve the Fuzzy Optimal Profi... |
EC
2000
13 years 8 months ago
2000
Solving optimization problems with multiple (often conflicting) objectives is, generally, a very difficult goal. Evolutionary algorithms (EAs) were initially extended and applied ...
GECCO
2000
Springer
14 years 6 days ago
2000
Springer
In Real coded genetic algorithms, some crossover operators do not work well on functions which have their optimum at the corner of the search space. To cope with this problem, we ...
GECCO
2006
Springer
14 years 8 days ago
2006
Springer
Embedded Cartesian Genetic Programming (ECGP) is an extension of Cartesian Genetic Programming (CGP) that can automatically acquire, evolve and re-use partial solutions in the for...
IJIT
2004
13 years 10 months ago
2004
In this paper, the problem of finding the optimal collision free path for a mobile robot, the path planning problem, is solved using an advanced evolutionary algorithm called memet...
EGC
2005
Springer
14 years 2 months ago
2005
Springer
Genetic algorithms (GAs) are stochastic search methods that have been successfully applied in many search, optimization, and machine learning problems. Their parallel counterpart (...