Lan, M. H. (2025) Multi-Objective Evolutionary Optimization for Qujing’s Cultural-Tourism Routes. Journal of Data Analysis ...

The rapid development and integration of artificial intelligence (AI), including predictive, generative, and emerging agentic ...

The United States economy relies heavily on the financial services industry, which has historically shaped marketplaces, innovations, and trade ...

Abstract: Safe reinforcement learning (RL) aims to optimize the task performance with safety guarantees. One common modeling scheme to study safe RL problems is the constrained Markov decision process ...

Abstract: Expensive constrained multiobjective optimization problems (ECMOPs) present significant challenges due to the high cost of evaluating both objective and constraint functions. Existing ...

Related: The Massive Used Bookstore in Hawaii Where You Can Lose Yourself for Hours What truly sets this Goodwill apart, though, is the uniquely Hawaiian items that cycle through its inventory. Unlike ...

FSNet is a new problem-solving tool that can find the optimal solution to an extremely complex problem without violating any of the problem’s many constraints. Developed at MIT, FSNet could help power ...

Community driven content discussing all aspects of software development from DevOps to design patterns. If you want to get certified as a Generative AI Leader by Google, you need to do more than just ...

It was written for the November 2025 edition of Supply Chain Management Review. The full article is available to current subscribers. Already have a magazine subscription, log in now ( enter email ...

Quantum logistics could redefine resilience: The technology enables real-time scenario modeling and adaptive recovery ...

The Labelling Phenomenon for Generation Z and the Coping Strategies: Based on the Theory of Interaction Ritual Chains. Open Access Library Journal, 12, 1-21. doi: 10.4236/oalib.1114421 . In the ...