Using an improved NSGA-II (non-dominated sorting genetic algorithm II) algorithm, a multi-objective optimisation approach is developed here for the pickup device of a square baler, in an attempt to ...
Making a class schedule is one of those NP hard problems. The problem can be solved using a heuristic search algorithm to find the optimal solution, but it only works for simple cases. For more ...
Abstract: The design of the automated timetabling system is based on overcoming the complexities associated with educational scheduling. The traditional method of construction of the schedule involves ...
Large-scale sparse multi-objective optimization problems are prevalent in numerous real-world scenarios, such as neural network training, sparse regression, pattern mining and critical node detection, ...
The operation of the power grid is closely related to meteorological disasters. Changes in meteorological conditions may have an impact on the operation and stability of the power system, leading to ...
Abstract: How to efficiently rank the reliability order of the channels is critical for polar code construction. A new polar code construction framework tailored to a given decoding algorithm based on ...
With the importance of time and cost in today’s world, it is essential to solve problems in the best way possible. Optimization is a process used to achieve this goal and is applied in several areas, ...
Samantha (Sam) Silberstein, CFP®, CSLP®, EA, is an experienced financial consultant. She has a demonstrated history of working in both institutional and retail environments, from broker-dealers to ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results