This paper studies the nonlinear optimization problems subject to bipolar max-min fuzzy relation equation constraints. The feasible solution set of the problems is non-convex, in a general case. Therefore, conventional nonlinear optimization methods cannot be ideal for resolution of such problems. Hence, a Genetic Algorithm (GA) is proposed to find their optimal solution. This algorithm uses th...

As recruitment for oncology clinical trials has become more difficult, there appears to have been an increase in the number of studies that allow patients in the control arm to "crossover" and receive the experimental therapy after disease progression. Although some researchers worry that allowing such crossover may abolish gains in progression-free survival in the experimental arm, the possibi...