The performance of decomposition-based multiobjective evolutionary algorithms (MOEAs)
often deteriorates clearly when solving multiobjective optimization problems with irregular …

Reference vector adjustment approaches pose a considerable potential to strengthen the
capability of decomposition-based evolutionary many-objective algorithms in handling many …

When using evolutionary algorithms to solve constrained multi-objective optimization
problems, both the constraint handling technique and the search operator play a crucial role …

The delineation of hydrologically homogeneous regions is an important issue in regional
hydrological frequency analysis. In the present study, an application of the Growing Neural …

Gas path analysis is a well-known approach to gas turbine condition monitoring that consists
of three steps, including detection, isolation and identification of performance deteriorations …

The design of many infrastructures and construction projects requires the extensive studies
in the area's geographical conditions and climatic characteristics. The effectiveness of this …

This paper proposes a new extension of the Growing Neural Gas Network, called the
Progressive Growing Neural Gas Network (PGNGN), for the application of kinematic …

An important property of the competitive neural models for data clustering is autonomous
discovery of the data structure without a need of a priori knowledge. Growing Neural Gas …

The radio frequency (RF) spectrum is a critical and limited resource for communication and
sensing. Due to technological advances, the use of RF devices is increasing exponentially …

طراحی بسیاری از زیرساخت‌‏ ها و پروژه‌‏ های عمرانی نیازمند مطالعات گسترده‏ ‌ای در زمینه شرایط
جغرافیایی منطقه و ویژگی‏ ‌های اقلیمی آن ناحیه می‌‏ باشد. کارایی این پژوهش‌ها خود وابسته به …‎