Mobile Robot Planning using Action Language BC with an Abstraction Hierarchy. Shiqi Zhang, Fangkai Yang, Piyush Khandelwal, and Peter Stone. In Proceedings of the 13th International Conference on ...

2) The proposed EASEHPT algorithm can improve the overall investment efficiency by 11.9% compared to traditional methods, and the obtained Pareto front solution set of the multi-objective investment ...

In July 2024, Musk suggested on X that Trump could establish a presidential commission on "government efficiency" and select him to lead it. Trump liked the idea and confirmed in August 2024 that ...

OptFrame - C++17 (and C++20) Optimization Framework in Single or Multi-Objective. Supports classic metaheuristics and hyperheuristics: Genetic Algorithm, Simulated Annealing, Tabu Search, Iterated ...

Developments in electricity generation will improve efficiency while using fossil fuels and other renewable energy sources optimally. But, how will all this happen? Listed below are the trends ...

These advancements create new opportunities and introduce challenges, such as balancing efficiency gains with responsible resource consumption. A key breakthrough has been reducing the ...

Since Elon Musk’s so-called Department of Government Efficiency took over important government technology teams within the General Services Administration (GSA) and what was formally known as ...

By David A. Fahrenthold The Department of Government Efficiency has deleted one of its more bizarre claims: that it had saved taxpayers $53.7 million by “canceling” a federal contract that had ...

The new optimization problem formulation aims to maximize strain outputs and minimize sensor diameter. Pareto optimization with non-dominated sorting genetic algorithm II, which provides multiple ...