Abstract: As is well known, it is challenging to address the convergence for distributed constrained optimization problem, in particular when nonconvex constraints, nonuniform step-sizes (nonuniform ...
My graduate studies included learning about constraint-based optimization algorithms (such as linear programming) and ...
The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get ...
Explore zero-one integer programming, a key method in logical problem-solving, using binary choices for optimal decisions in finance, production, and more.
Abstract: This study proposes LiP-LLM: integrating linear programming and dependency graph with large language models (LLMs) for multi-robot task planning. For multi-robots to efficiently perform ...
A critical factor in the success of many decision support systems is the accurate modeling of user preferences. Psychology research has demonstrated that users often develop their preferences during ...
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