Abstract: Decomposition has been the mainstream approach in the classic mathematical programming for multi-objective optimization and multi-criterion decision-making. However, it was not properly ...

Researchers from Renmin University of China and Microsoft Research have introduced Arbor, a framework designed to help AI ...

Arbor separates strategy from execution using isolated git worktrees, so engineering teams can finally trace which ...

In this tutorial, we use GEPA as a reflective prompt-evolution framework to improve the way a language model solves arithmetic word problems. We begin with a weak seed prompt, create a small ...

This article covers an example of the application of the QAOA algorithm for asset allocation using portfolio optimization and compares the results with traditional quadratic optimization. In modern ...

Artificial intelligence and related technologies are evolving rapidly, but until recently, Java developers had few options for integrating AI capabilities directly into Spring-based applications.

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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 ...

A wireless sensor network (WSN) is an evolving field in the modern real world, a collection of spatially dispersed distributed and dedicated sensor nodes. It enables data transmission between Internet ...

Next to the primary optimization objectives, scientific optimization problems often contain a series of subordinate objectives, which can be expressed as preferences over either the outputs of an ...