Black-box optimization weather intervention method supports future disaster mitigation

In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...
TMCnet

MicroCloud Hologram Inc. Develops Approximate Quantum State Preparation and Entanglement-Dependent Complexity Algorithm Technology

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the “Company”), a technology service provider, has announced a groundbreaking achievement of great theoretical and engineering significance: its ...
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 ...
IEEE

Automated Design of Power Module Packaging with Multi-Objectives Based on Artificial Neural Network and Deep Reinforcement Learning

Abstract: Traditional design methods for power module packaging heavily rely on manual experiences. Although the computer-aided optimization (CAO) methods utilizing metaheuristic algorithms for ...
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 ...