Reimagining Autonomous Network: The Convergence Of Quantum Computing And AI

We might be witnessing the start of a new computing era where AI, cloud and quantum begin to converge in ways that redefine ...
EurekAlert!

Application of multi-objective optimization based on Sobol sensitivity analysis in solar single-double-effect LiBr−H2O absorption refrigeration

To improve the adaptability of solar refrigeration systems to different heat sources, a single-double-effect LiBr-H2O ...
EurekAlert!

Dynamic decision-making of UAV swarm based on constrained multi-objective optimization under incomplete interference information

The challenge of resource allocation for UAV swarms in dynamic and uncertain electromagnetic environments has been investigated for years. In a recent breakthrough published in the Chinese Journal of ...
Scientific Research Publishing

Deb, K. (2011) Multi-Objective Optimisation Using Evolutionary Algorithms: An Introduction. In: Wang, L.H., Ng, A.H.C. and Deb, K., Eds., Multi-Objective Evolutionary ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...
Search Engine Land

Google VP: SEO and AI search optimization have ‘a lot of overlap’

Want your business to show up in Google’s AI-driven results? The same principles that help you rank in Google Search still matter – but AI introduces new dimensions of context, reputation, and ...
Frontiers

Robust multi-objective optimization framework for performance-based seismic design of steel frame with energy dissipation system

1 Guangzhou Institute of Building Science Group Co., Ltd., Guangzhou, Guangdong, China 2 Glenn Department of Civil Engineering, Clemson University, Clemson, SC, United States Modern seismic codes ...
IEEE

A Learning Algorithm Based on Similarity Identification and Knowledge Transfer for Dynamic Multi-Objective Optimization

Abstract: Prediction-based dynamic multi-objective optimization algorithms (DMOEAs) are widely used to explore the relationships of Pareto-optimal solutions (POSs) under continuous time steps, aiming ...
IEEE

An Effective Visually Meaningful Image Encryption Based on Compressive Sensing and Multi-Objective Optimization Algorithm

Abstract: With the swift rise in the number of digital images, their transmission and storage are facing severe challenges. Although traditional encryption algorithms can effectively protect image ...