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Niching method is able to locate multiple solutions in multimodal search areas.
Besides these efforts, an algorithm is also developed to find multiple solutions in a single run.
The existence of multiple solutions in the case of an isothermal wall is demonstrated and a quenching radius is determined.
This approach effectively eliminates the multiple solutions in the inverse kinematics and increases the robustness of the control algorithm.
Moreover, the problem of multiple solutions in history matching process is eliminated through simultaneous matching of the water saturation profiles data and the pressure differential data.
EAs are well applicable to multi-objective problems because of their ability to find multiple solutions in one single simulation run.
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Participants also indicated that the workshops were more successful in generating multiple solutions than in finding unanimity.
It is also found that multiple solutions coexist in many speed ranges.
When the multiple solutions exist in this study, the security concern has higher priority than the image quality.
Since the 1980s, various evolutionary approaches that are capable of searching for multiple solutions simultaneously in a single run have been developed to solve multiobjective optimization problems (MOPs).
The coexistence of multiple solutions may result in a jump and hysteresis of the oscillating amplitude for different kinds of disturbances.
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