Abstract: This paper presents a task planning and resource scheduling algorithm based on a regret-driven greedy strategy and dynamic programming. The algorithm addresses key challenges such as ...

The Nature Index 2025 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...

Dynamic programming is a methodological framework for solving optimisation problems that evolve over time by breaking them into simpler subproblems. Central to this approach is the principle of ...

In the event of an upstream grid fault, the Active Distribution Network (ADN) can switch to autonomous operation, coordinating controllable Distributed Generators (DGs) and Energy Storage Systems (ESS ...

A study highlighting Amazon's dynamic pricing algorithm indicates that the function led schools and municipalities to overpay for office supplies. While Amazon may offer convenience, its pricing ...

ABSTRACT: With the widespread integration of high-penetration renewable energy, load volatility and spatio-temporal imbalances in power systems have intensified, imposing higher demands on real-time ...

A months-long joint investigation by Consumer Reports and Groundwork Collaborative has uncovered widespread price testing on Instacart's grocery delivery platform. The research shows that identical ...

This study develops a unified framework for optimal portfolio selection in jump–uncertain stochastic markets, contributing both theoretical foundations and computational insights. We establish the ...

I would like to propose the creation of a new section on Dynamic Dynamic Programming (DDP). This advanced technique is crucial for solving tree problems where the tree structure or node values are ...