A Lightweight and User-Friendly EoH Framework for LLM-driven Automated Algorithm/Heuristic Design Heuristics are indispensable for tackling complex search and optimization problems. However, manual ...
Abstract: The Greedy Permuting Method (GPM) is a method introduced for initial population generation in the Genetic Algorithm (GA). For a test problem with 280 cities, the generated initial population ...
Mammalian axons are specialized for transmitting action potentials to targets within the central and peripheral nervous system. A growing body of evidence suggests that, besides signal conduction, ...
Vehicle Routing Problem or simply VRP is a well known combinatorial optimization problem and a generalization of the travelling salesman problem. A definition of the problem is this: We have a number ...
Abstract: The Travelling Salesman Problem (TSP) is one of the typical combinatorial optimization problems that is easy to describe but hard to solve. In this work, we present a novel solution that ...
Creating flexible and robust brain machine interfaces (BMIs) is currently a popular topic of research that has been explored for decades in medicine, engineering, commercial, and machine-learning ...
We consider the problem of joint beamforming and discrete motion control for mobile relaying networks in dynamic channel environments. We assume a single source-destination communication pair. We ...
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