A new multipoint inverse design method to improve aerodynamic performance o
f transonic transport wings at off-design conditions is demonstrated. We mi
nimized weighted averages of the residuals that are differences between com
puted and target pressures at two design points. Target pressure distributi
ons are optimized using a genetic algorithm. It was found that characterist
ics of single-point design wings were transferred to dual-point design wing
s proportionally to weighting factors. Through the dual-point design proced
ure, off-design performance of a single-point design wing is improved while
preserving good performance at the primary design point. The present dual-
point design procedure requires about 12 times the computational cost of a
flow solver and is, therefore, very efficient for the multipoint design of
transonic wings.