Evolutionary optimization (EO) is a type of genetic algorithm that can help minimize the error between computed output values and training data target output values ...

New platform combines genetic algorithms with freeform geometry to design resilient, high-performance MEMS accelerometers ...

A new co-optimization framework for MEMS design, developed by Dr. Chen Wang and collaborators, integrates genetic algorithms ...

Our inclusion of skewness and kurtosis makes portfolio optimization a nonlinear, nonconvex and multi-objective problem; this has been solved with the use of a genetic algorithm. Empirical results ...

"The significance of nuclear power cannot be underestimated." Scientists make game-changing breakthrough that could drive ...

Amid the genetic medicines arms race ... Mirai’s platform harnesses algorithms not only to ensure its biotech partners’ gene therapies are delivered to a specific tissue and cell type but ...