The medical device industry stands at the convergence of innovative design and stringent regulatory requirements, where design quality engineering serves as the critical bridge between conceptual ...

The enterprise technology landscape has undergone dramatic transformation over the past two decades, with SAP systems evolving from traditional business suites to sophisticated cloud-native platforms.

Abstract: In recent years, many multimodal multi-objective evolutionary algorithms (MMOEAs) have been proposed for the widely existing multimodal multi-objective optimization problems (MMOPs) in ...

I recently had the privilege of listening to Jennifer Zientz, director of programs at the Center for BrainHealth, discuss what we have agency over when managing our cognitive energy. Top of the list: ...

In this paper, we present a branch and bound-based technique for generating the nondominated set for the multi-objective assignment problem. The approach utilizes the Hungarian algorithm to solve a ...

In this paper, we focus on the multi-objective stochastic multiple knapsack problem, in which the object weights are random. We propose a new approach called the multi-objective memetic algorithm with ...

The tuned mass damper is one of the most frequently employed structural control devices for mitigating dynamic vibrations in structures subjected to earthquake ground motions. Conventional tuned mass ...

With the increasing integration of a high proportion of renewable energy, the fluctuation characteristics of distributed power generation such as wind and photovoltaic energy affect the safe and ...

Abstract: The main feature of the Dynamic Multi-objective Optimization Problems (DMOPs) is that optimization objective functions will change with times or environments. One of the promising approaches ...