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Št. zadetkov: 3
Optimization of disassembly line balancing using an improved multi-objective genetic algorithm
Y. J. Wang, N. D. Wang, S. M. Cheng, X. C. Zhang, H. Y. Liu, J. L. Shi, Q. Y. Ma, M. J. Zhou
Izvirni znanstveni članek
Oznake: montaža;razstavljanje;uravnoteženje linij;večciljna optimizacija;obnova;predelava izdelka;življenjski cikel izdelka;izboljšani genetski algoritmi;assembly;disassembly;line balancing;multi-objective optimization;remanufacturing;product recovery;product life cycle;NP-hard problem;improved genetic algorithm;
Disassembly activities take place in various recovery operations including remanufacturing, recycling, and disposal. Product disassembly is an effective way to recycle waste products, and it is a necessary condition to make the product life cycle complete. According to the characteristics of the pro ...
Leto: 2021 Vir: Digitalna knjižnica Univerze v Mariboru (DKUM)
Improved genetic algorithm (VNS-GA) using polar coordinate classification for workload balanced multiple traveling salesman problem (mTSP)
Y. D. Wang, X. C. Lu, J. R. Shen
Izvirni znanstveni članek
Oznake: problem več potujočih prodajalcev;ravnovesje delovne obremenitve;algoritem za iskanje spremenljive soseske;genetski algoritmi;polarne koordinate;klasifikacija;multiple traveling salesman problem (mTSP);workload balance;variable neighbourhood search algorithm (VNS);genetic algorithm (GA);polar coordinates;classification;
GThe multiple traveling salesman problem (mTSP) is an extension of the traveling salesman problem (TSP), which has wider applications in real life than the traveling salesman problem such as transportation and delivery, task allocation, etc. In this paper, an improved genetic algorithm (VNS-GA) that ...
Leto: 2021 Vir: Digitalna knjižnica Univerze v Mariboru (DKUM)
Monte Carlo Tree Search improved Genetic Algorithm for unmanned vehicle routing problem with path flexibility
Y. D. Wang, X. C. Lu, Y. M. Song, Y. Feng, J. R. Shen
Izvirni znanstveni članek
Oznake: unmanned vehicle;path flexibility;vehicle routing problem;Genetic Algorithm;GA;Monte Carlo Tree Search algorithm;MCTS;COVID-19;pandemics;
With the gradual normalization of the COVID-19, unmanned delivery has gradually become an important contactless distribution method around China. In this paper, we study the routing problem of unmanned vehicles considering path flexibility and the number of traffic lights in the road network to redu ...
Leto: 2022 Vir: Digitalna knjižnica Univerze v Mariboru (DKUM)
Št. zadetkov: 3
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