Abstract: This article proposes a constrained evolutionary Bayesian optimization (CEBO) algorithm to cope with expensive constrained optimization problems with inequality constraints. The uniqueness ...

Abstract: In this article, we deal with stochastic optimization problems where the data distributions change in response to the decision variables. Traditionally, the study of optimization problems ...

Fruchter, G. (2026) Opportunism in Supply Chain Recommendations: A Dynamic Optimization Approach. Modern Economy, 17, 26-38.

Let’s play a game. You’re Zombie Connie Mack. Let’s assume, for the sake of this exercise, that your nearly 70 years in the afterlife has given you an innate grasp of modern analytics, air travel, ...

ABSTRACT: In this paper, we consider a more general bi-level optimization problem, where the inner objective function is consisted of three convex functions, involving a smooth and two non-smooth ...

Jody Levison-Johnson, Ph.D., LCSW, is president & CEO of Social Current, solutions provider to over 1,800 human service organizations. Historically, the nonprofit sector has played a critical role in ...

If the specter of a trade war, slowing economic growth, and potential layoffs weren’t already bad enough for employees concerned about the future of their jobs, additional evidence suggests many ...

Historical data helps business owners predict future cash inflows and outflows. Optimizing cash flow is critical for maintaining the financial health and stability of your company. By implementing ...

You make decisions every day. Some are big, and some are small. But even the small decisions involve a great deal of complexity. Let me show you what I mean. Take something you probably do regularly: ...

Our news journalists obtained a quote from the research, "The insurer can invest in a risk-free bond and a risky asset, where the underlying models for investment assets are modulated by a ...