Furthermore, an improved differential evolution algorithm is designed for obtaining the optimal strategy.
Mars Atmosphere and Volatile EvolutioN (MAVEN) is designed to study the martian atmosphere, in part to figure out how its climate apparently became inhospitable for life.
A modified game theory approach, coupled with an adaptive differential evolution algorithm, is designed in order to generate the pareto front of the multi-objective trajectory optimization problem.
A new NSDE algorithm, which is an organic integration of Pareto non-dominated sorting operation and differential evolution algorithm, is designed for the model.
The model (constitutive and evolution equations) is designed to be incorporated into geodynamic-scale continuum models to explore the effects of segregation without resolving the length scales of the process directly.
As with a previous curriculum published with respect to the teaching of ecology (Fail 2003), this evolution curriculum is designed as a year-long and once-per-week series of classes that, like ecology, requires an understanding of basic principles of physics and chemistry and biology taught on a need-to-know basis.
Balanced minimum evolution (BME) is designed under the ME principle [ 13].
For human-designed systems, think of the air transportation and its evolution: the system is designed to learn from errors and improve on itself, so every glitch, mishap or disaster makes the system safer and more reliable.
To find an optimal solution, an adaptive hybrid differential evolution (AHDE) algorithm is designed.
To obtain such performance, a nonlinear controller based on dynamic evolution path theory is designed and its robustness is examined under both heavy and light loading condition.
To constrain the evolution, an energy function is designed based on two diffusion constraints.
