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Search · four archives
13 papers · ranked by Valyu relevance
Seyyed Ahmad Edalatpanah, Massimiliano Fasi
There are several approaches to address fuzzy linear programming problems (FLPP). However, due to using standard interval arithmetic (SIA), these methods have some limitations and are not complete solutions. This article establishes a new approach to fuzzy linear programming via the theory of horizontal membership…
Vishwas Deep Joshi, Medha Sharma, Lenka Čepová, Huda Alsaud + 1 more
'Kanak Kalita'] This paper introduces a novel two-step generalized parametric approach for addressing Fuzzy Multi-Objective Transportation Problems (FMOTPs), commonly encountered in logistics and transportation systems when essential parameters-such as supply, demand, and transportation costs-are uncertain. Driven by…
Benard Nyangena Kiage, Michael W. Kimwele, Wilson K. Cheruiyot, Jael S. Wekesa
Fuzzy logic-based median filters (FLBMF) are widely applied in medical imaging to suppress impulse noise while preserving diagnostically relevant structures. Floating-point implementations, although precise, impose substantial computational and memory demands, limiting their deployment on embedded, portable, or…
Daniel Dadush, Friedrich Eisenbrand, Thomas Rothvoss
Approximate integer programming is the following: For a given convex body $K \subseteq{\mathbb{R}}^n$, either determine whether $K \cap{\mathbb{Z}}^n$ is empty, or find an integer point in the convex body $2\cdot K - c +c$ which is K, scaled by 2 from its center of gravity c. Approximate integer programming can be…
Jianping Sun, Yuyang Wan, Guangle Lu, Zhaoping Tang + 1 more
To address the multiple sources of uncertainty in railway emergency resource scheduling, this study uses interval numbers to characterize uncertainty in scheduling time, models resource demand as a fuzzy-random variable, and integrates fuzzy credibility constraints with interval programming within a unified…
Ahmad Abdi, Gérard Cornuéjols, Bertrand Guenin, Levent Tunçel
A rational number is dyadic if it has a finite binary representation $p/2^k$, where p is an integer and k is a nonnegative integer. Dyadic rationals are important for numerical computations because they have an exact representation in floating-point arithmetic on a computer. A vector is dyadic if all its entries are…
Sena Senses, Mustafa Kumral
Planning an equipment fleet is a complex engineering challenge involving (1) the capacity selection of equipment pieces forming a fleet, (2) the determination of fleet size, (3) strategic timing of equipment acquisitions, and (4) ensuring compatibility between interconnected equipment. Selecting equipment type involves…
Samar I. Farghaly, Hala M. Khayal, Ibrahim M. Algohary, Mahmoud A. Eissa + 5 more
As mobile communication systems continue to evolve to support higher data rates, ultra-low latency, and greater reliability, the effective management of Physical Cell Identities (PCI) becomes increasingly important. The pool of available identifiers is limited-504 in fourth-generation networks and 1008 in…
Juan Carlos Figueroa–García, Jhoan Sebastián Tenjo–García, Carlos Franco
There are several uncertain capacitated vehicle routing problems whose delivery costs and demands cannot be estimated using deterministic/statistical methods due to a lack of available and/or reliable data. To overcome this lack of data, third-party information coming from experts can be used to represent those…
Peter Klanatsky, François Veynandt, Christian Heschl
Integrating renewable energy sources into buildings requires advanced control strategies to enhance demand-side flexibility. Data-driven Model Predictive Control (DMPC) has shown significant promise in this area. Buildings with Thermally Activated Building Structures (TABS) and glass façade present flexibility…
Xin Shi, Wenliang Zhou, Xiang Li, Songpo Yang
This paper addresses a line planning problem (LPP) that simultaneously optimizes both train and passenger times in passenger railway systems, considering time-dependent origin-destination-period demand and passenger train choice. The problem is clearly and flexibly modeled in a physical infrastructure-based directed…
Xuan Lin
This paper presents a comparative study of data-driven acceleration techniques for mixed-integer bilinear programs (MIBLPs) applied to robot motion planning. MIBLPs combine discrete decision variables and nonlinear constraints, making them computationally challenging for real-time robotics applications. We investigate…
Tadashi Kadowaki, Mitsuru Ambai
In edge computing, suppressing data size is a challenge for machine learning models that perform complex tasks such as autonomous driving, in which computational resources (speed, memory size and power) are limited. Efficient lossy compression of matrix data has been introduced by decomposing it into the product of an…