This is a preview. Log in through your library . Abstract A new algorithm for inequality constrained optimization is presented, which solves a linear programming subproblem and a quadratic subproblem ...

This paper deals with an interval-oriented approach to solve general interval constrained optimization problems. Generally, this type of problems has infinitely many compromise solutions. The aim of ...

Allocation between factor portfolios can bring significant advantages over traditional portfolio optimization performed among individual assets. Substantial dimension reduction when one's attention ...

The Constraint Reasoning and Optimization Group led by Matt Järvisalo at the University of Helsinki has openings for postdoctoral researchers and exceptional PhD candidates The (CoReO) led by Prof. at ...

Shi, B. , Gou, Z. and Tan, J. (2025) Optimizing Pulsatile Energy Consumption in Blood Pumps with PSO. Open Journal of Applied ...

Quartic.ai, provider of an enterprise-scale GxP and CFR 21 part 11 compliant platform, applications, and end-to-end solutions that accelerate customers’ industry 4.0 journey, has released its PD ...

An optimization problem is one where you have to make the best decision (choose the best investments, minimize your company’s costs, find the class schedule with the fewest morning classes, or so on).

Here's a question enterprise leaders should be asking: Are we thinking big enough with our AI ambition and goals? AI adoption is often viewed first through the lens of operational improvement, ...