Search Results - subject:"ALGORITHM"

Optimizing fresh-cut flower distribution using vehicle routing problem for perishable goods

Rodrigo, Sara; Kosgoda, Dilina; Fernando, W. Madushan; … - In: LogForum : elektroniczne czasopismo naukowe z dziedziny … 20 (2024) 1, pp. 23-37

Persistent link: https://www.econbiz.de/10014519982

An exploration of quantitative models and algorithms for vehicle routing optimization and traveling salesman problems

Lähdeaho, Oskari; Hilmola, Olli-Pekka - In: Supply chain analytics 5 (2024), pp. 1-9

This study presents optimization models for large vehicle routing problems using a spreadsheet solver and Python programming language with extended graphic card boosting computing power. Near optimality is feasible and attainable with spreadsheet tools and models for solving real-life problems....

Persistent link: https://www.econbiz.de/10014516546

An empirical analysis of a set of hybrid heuristics for the solution of the resource leveling problem

Aristotelous, Marinos; Nearchou, Andreas C. - In: Operations research forum 5 (2024) 1, pp. 1-29

Persistent link: https://www.econbiz.de/10014517525

Optimizing aspect-based sentiment analysis using sentence embedding transformer, Bayesian search clustering, and sparse attention mechanism

Marutho, Dhendra; Muljono; Rustad, Supriadi; Purwanto - In: Journal of open innovation : technology, market, and … 10 (2024) 1, pp. 1-19

The aspect-based sentiment analysis of hotel reviews represents a critical yet underexplored area of research. Such reviews encompass a range of expressions that extend beyond simple positive, negative, or neutral sentiments, delving into specific aspects discussed within the review. For...

Persistent link: https://www.econbiz.de/10014518821

Solving the stochastic team orienteering problem : comparing simheuristics with the sample average approximation method

Panadero, Javier; Juan, Angel A.; Ghorbani, Elnaz; … - In: International transactions in operational research : a … 31 (2024) 5, pp. 3036-3060

Persistent link: https://www.econbiz.de/10014533499

A hybrid meta-heuristic algorithm for multi-objective IoT service placement in fog computing environments

Apat, Hemant Kumar; Sahoo, Bibhudutta; Goswami, Veena; … - In: Decision analytics journal 10 (2024), pp. 1-17

-convexity nature of the solution space motivates us to focus on the population-based meta-heuristic algorithm, i.e. Genetic Algorithm … implements the algorithm and compares it with the greedy-based random placement approach, varying the number of IoT applications …

Persistent link: https://www.econbiz.de/10014541508

A branch-and-cut algorithm for the one-commodity pickup and delivery location routing problem

Domínguez-Martín, Bencomo; Hernández-Pérez, Hipólito; … - In: Computers & operations research : an international journal 161 (2024), pp. 1-16

Persistent link: https://www.econbiz.de/10014557802

Scalable policies for the dynamic traveling multi-maintainer problem with alerts

Verleijsdonk, Peter; Jaarsveld, Willem van; … - In: European journal of operational research : EJOR 319 (2024) 1, pp. 121-134

Persistent link: https://www.econbiz.de/10015083543

Container port truck dispatching optimization using Real2Sim based deep reinforcement learning

Jin, Jiahuan; Cui, Tianxiang; Bai, Ruibin; Qu, Rong - In: European journal of operational research : EJOR 315 (2024) 1, pp. 161-175

Persistent link: https://www.econbiz.de/10014562810

On Bayesian inference of reliability parameter in Burr-type XII model based on imprecise data : a survey on fuzzy modelling

Makhdoom, Iman; Pak, Abbas - In: Statistics in transition : an international journal of … 25 (2024) 1, pp. 125-143

There are always two major sources of uncertainty in measurements related to lifetime surveys: variation among the observations and imprecision of individual observation called fuzziness. The typical statistical analysis is based on variation among the observations and does not consider the...

Persistent link: https://www.econbiz.de/10015125415