Abstract: Constrained multi-objective optimization problems often exhibit complex and fragmented feasible regions, which makes global constrained Pareto front (CPF) search challenging. To address this ...

Researchers have developed a systematic review that charts the evolution of artificial intelligence in generative design for steel modular structures, particularly steel box modular buildings, ...

The customer value creation has been so substantial that Marketeam.ai has achieved 14X growth in less than 12 months, through consistent delivery of an average 6X ROI to customers. This organic growth ...

Read more about AI could transform pandemic strategy by balancing lives, economy and resources on Devdiscourse ...

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 ...

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 ...

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...

Abstract: Multi-party multi-objective optimization, which aims to find a solution set that satisfies multiple decision makers (DMs) as much as possible, has attracted the attention of researchers ...

Modern seismic codes ensure life safety, but code-compliant buildings can still suffer significant economic losses from earthquake-induced damage, even during moderate events. Performance-Based ...