Search Results - (( _ distribution depot algorithm ) OR ( parameter estimation max algorithm ))
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1
Improved Location And Positioning Utilizing Single MIMO Base Station In IMT-Advanced System
Published 2016“…This algorithm based on the angle of arrival (AOA) and angle of departure (AOD) measurement parameter completed the new SMBS algorithm with virtual base station (SMVirBS). …”
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2
Kernel and multi-class classifiers for multi-floor wlan localisation
Published 2016“…The multi-class classification strategy is used to ensure quick estimation of the multi-class NN algorithms. All of the algorithms are later combined to provide device location estimation for multi-floor environment. …”
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3
Simulation of Empty Container Logistic Management at Depot
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4
Multi depot dynamic vehicle routing problem with stochastic road capacity for emergency medical supply delivery in humanitarian logistics
Published 2022“…Moreover a stochastic road capacity distribution where its mean deteriorates over time is also depicted in the problem. …”
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5
Ant system with heuristics for capacitated vehicle routing problem
Published 2013“…It is a basic production and distribution management problem which is of economic importance to business because of time and costs contributed by the delivery of the products from the depot to the customers. …”
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6
Electric vehicle battery state of charge estimation using metaheuristic-optimized CatBoost algorithms
Published 2025“…This study presents a hybrid approach combining the CatBoost algorithm with metaheuristic optimization techniques to enhance SoC estimation accuracy and robustness. …”
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7
Genetic-local hybrid optimizer for solving advance layout problem
Published 2006“…This research describes a novel method, based on genetic algorithms(GA) to solve the machine layout problem, where developing machine layout is an important step designing manufacturing, renovation of factories, distribution centers, hospitals, banks, department stores, military supply, depots, universities, etc. …”
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8
Deterministic and stochastic inventory routing problems with backorders using artificial bee colony / Huda Zuhrah Ab Halim
Published 2019“…The first variant is a many-to-one distribution network, consisting of a depot, an assembly plant, and geographically dispersed suppliers where a capacitated homogeneous vehicle, housed at the depot delivers a distinct product from the suppliers to fulfill the deterministic demand specified by the assembly plant. …”
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9
Artificial bee colony for inventory routing problem with backordering
Published 2014“…This paper addresses the inventory routing problem with backordering (IRPB) with a one-tomany distribution network, consisting of a single depot and multiple customers for a specified planning horizon. …”
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10
Implementasi Algoritma Cheapest Insertion Heuristic (CIH) dalam Penyelesaian Travelling Salesman Problem (TSP)
Published 2018“…This algorithm provides different travel routes depending on the order of insertion of cities on the subtour in question.In this final project, the writer took the problem of distribution route of mineral water of al-ma'some 240 ml cup type, with vehicle capacity to meet 1200 carton and have different customer / agent demand that is the distance of depot and agent far from each other, distribution costs.…”
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Machine learning for mapping and forecasting poverty in North Sumatera: a datadriven approach
Published 2024“…The best model was created using the grid search cross-validation, while the best prediction results were created using the RF algorithm, with the following parameters: n-estimator = 50, max depth = 10, min samples split = 2, and min samples leaf = 1. …”
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12
Vehicle routing problem: models and solutions
Published 2008“…Among the recently applied heuristic techniques are genetic algorithm, evolution strategies and neural networks…”
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Green inventory routing problem using hybrid genetic algorithm / Huda Zuhrah Ab Halim ... [et al.]
Published 2021“…The IRP network consists of a depot, an assembly plant and multiple suppliers. …”
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14
Ant colony optimization for capacitated vehicle routing problem.
Published 2012“…Problem statement: The Capacitated Vehicle Routing Problem (CVRP) is a well-known combinatorial optimization problem which is concerned with the distribution of goods between the depot and customers. …”
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15
New correlation for oil formation volume factor
Published 2014“…It is a family of inductive algorithms which executes computer-based mathematical modeling of multi-parametric data sets. …”
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16
Application of metaheuristic in inventory routing problems / Nur Arina Bazilah binti Aziz
Published 2013“…We propose a hybrid genetic algorithm based on allocation first, route second method to determine an optimal inventory and transportation policy that minimizes the total costs. …”
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17
Technical report: genetic algorithm for solving capacitated vehicle routing problem / Mohd Faris Mohd Zaki and Muhammad Ammar Zulqornain Abdul Rashid
Published 2017“…The capacitated vehicle routing problem (CVRP) is one of the most important problems in the optimization of distribution networks. The main objective for Capacitated Vehicle Routing Problem (CVRP) is to deliver goods to a set of customer with known demands through minimum vehicle distance routes, starting and ending with the same depot and carrying limited capacity of the goods. …”
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Optimization of hydropower reservoir system using genetic algorithm for various climatic scenarios
Published 2015“…The first step, ANN was calibrated and validated by using daily observed evapotranspiration, rainfall, and stream flow (2003-2012). In order to estimate daily evapotranspiration, daily observed Min and Max temperature was used in the estimation based on Hargreaves-Samani equation. …”
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19
Logistics center location-inventory-routing problem optimization: a systematic review using PRISMA method
Published 2022“…When dealing with the LIRP, heuristic and metaheuristic algorithms are the most widely used solution methodologies in the literature. …”
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A Hybrid Metaheuristic Technique Based on Grey Wolf Optimisation, Symbiotic Organism Search, and Ant Colony Optimisation for Solving Multi-Objective Vehicle Routing Problems
Published 2025“…Based on a single-vehicle optimal route, the algorithm provided the shortest distance, 91.74 km. …”
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