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Facility location optimization for technical inspection centers using multi-objective mathematical modeling considering uncertainty
Encountering numerous vehicles on the roads can pose several risks, including a higher
probability of accidents. To address these issues, a thorough examination of cars can …
probability of accidents. To address these issues, a thorough examination of cars can …
[PDF][PDF] Efficiently guiding k-robots along pathways with minimal turns
This paper addresses the navigation of a team of k protector robots within pathways,
focusing on minimizing the total number of turns. These robots utilize orthogonal routes …
focusing on minimizing the total number of turns. These robots utilize orthogonal routes …
Minimizing turns in watchman robot navigation: strategies and solutions
The Orthogonal Watchman Route Problem (OWRP) entails the search for the shortest path,
known as the watchman route, that a robot must follow within a polygonal environment. The …
known as the watchman route, that a robot must follow within a polygonal environment. The …
[PDF][PDF] Concealing robots in environments: enhancing navigation and privacy through stealth integration
With the continuous advancement of robotics technology, the integration of robots into
diverse human environments has become increasingly prevalent. However, the presence of …
diverse human environments has become increasingly prevalent. However, the presence of …
A Monte Carlo simulation approach to the gap-time relationship in solving scheduling problem
This article presents a study on the job shop problem, a combinatorial optimization problem
that models scheduling and resource allocation in industrial settings. The article aims to …
that models scheduling and resource allocation in industrial settings. The article aims to …
Optimizing Brain-Computer Interface Performance: Advancing EEG Signals Channel Selection through Regularized CSP and SPEA II Multi-Objective Optimization
Brain-computer interface systems and the recording of brain activity has garnered significant
attention across a diverse spectrum of applications. EEG signals have emerged as a …
attention across a diverse spectrum of applications. EEG signals have emerged as a …
A Monte Carlo simulation approach to the gap-time relationship in solving the Job Shop Scheduling Problem.
This article presents a study on the job shop problem, a combinatorial optimization problem
that models scheduling and resource allocation in industrial settings. The article aims to …
that models scheduling and resource allocation in industrial settings. The article aims to …