Abstract: Evolutionary multi-objective optimization (EMO) algorithms generate diverse Pareto optimal solutions to comprehensively approximate the Pareto front. However, an excessive number of diverse ...

Vancouver, BC - April 14, 2026 - PRESSADVANTAGE - Daluo SEO today announced the expansion of its AI-powered search ...

Check out this new research in Engineering! It introduces an adaptive edge-cloud collaboration method for intelligent machine ...

Researchers have developed a hybrid surrogate model for iso-octanol oxidation to iso-octanal that integrates data-driven ...

Read more about Deep learning and AI unlock new era of solar energy forecasting and performance on Devdiscourse ...

A new publication from Opto-Electronic Technology; DOI 10.29026/oet.2026.260004 , discusses advances and perspectives on high-speed and ...

Abstract: This study proposes a multi-objective scheduling optimization algorithm based on reinforcement learning. This method constructs a deep reinforcement learning framework with Actor-Critic 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 ...

Tourism development in emerging destinations requires balancing economic benefits with ecological sustainability. In this study, we investigate the case of multi-attraction tourism planning in Qujing ...

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 ...