In the first the selection algorithm was reconfigured to use the correlation coefficient on each iteration, and in the second a multi-objective combination approach was introduced.
These include probabilistic linear-time properties, expected total, discounted and average reward properties, and their branching-time extensions and multi-objective combinations.
A genetic algorithm is used to solve the optimization problem, with a multi-objective criterion combination.
He is Chair of a Working Group on multi objective optimization.
data-centric multi objective QoS-aware routing protocol.
Therefore, another multi-objective inverse method, in combination of the above two optimization algorithms and a weight-estimating scheme that can consider such sensitivity, has been further presented.
genetic programming and multi-objective genetic algorithm, having better combination of properties, i.e. strength and ductility, is experimentally developed.
Unfortunately, the combination of multi-objective techniques and verification schemes based on Hardware-In-The-Loop presents a high incompatibility.
The resulting methodology utilizes group contribution methods in combination with multi-objective optimization technology for the generation of optimum working fluid candidates.
We devise an evolutionary swarm-based algorithm that is a hybrid combination of multi-objective Particle Swarm Optimization (MOPSO) and Genetic Algorithms (GAs) to solve the three models.
Different scoring functions can be combined with this multi-objective strategy to research the best combinations, and this will be the direction of our next work.
