Listen to the episode here or wherever you listen to podcasts: Product innovation is always a risky business, with months of ...

rmoo is a non-dominated sorting based multi-objective optimization package built upon the ‘GA’ package. It provides a comprehensive, flexible, and modular framework for multi/many-objective ...

The rapid growth of wind and solar energy sources in recent years has brought challenges to power systems. One challenge is surging wind and solar electric generation, understanding how to consume ...

With the emergence and development of the Back Propagation neural network (BPNN), its unique learning, generalization, and non-linear characteristics have been gradually excavated and fully applied in ...

Due to the suddenness, uncertainty and huge loss of political risks in overseas projects, this paper considers the time dimension and the success rate of project exploitation for the goal of ...

It is well known, that the single-objective spanning tree problem (MST) is solvable in polynomial time, e.g., by the Prim's algorithm. However, in real-world applications, e.g., in network design, ...

Abstract: The EDA design flows must be retooled to cope with the rapid increase in the number of operational modes and process corners for a VLSI circuit, which in turn results in different and ...

Abstract: A criticism of evolutionary algorithms might be the lack of efficient and robust generic methods to handle constraints. The most widespread approach for constrained search problems is to use ...