Temat: genetyczny algorytm mrówkowy - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Optimization of travel routes based on modified genetic and ant algorithms
Autorzy:: Rybchak, Z.
Powiązania:: https://bibliotekanauki.pl/articles/410861.pdf
Data publikacji:: 2017
Wydawca:: Polska Akademia Nauk. Oddział w Lublinie PAN
Tematy:: ant algorithm
ant colony genetic algorithm
hiking trails
algorytm mrówkowy
genetyczny algorytm mrówkowy
ścieżki turystyczne
Opis:: In the article, propose to use modified mating operators and initialization genetic and ant algorithms to solve transport problems in tourism. The article analyzes modern methods of optimization of routes used to transport tourists between the settlements of view of efficient use of resources. By analyzing the behavior of ant colonies, such as finding the shortest route by providing mating pheromones and features two solutions genetic algorithm developed algorithms for finding the optimal route, costing resources search distance, time, route, storing executed routes. The paper present description created system for mobile phones operating system IOS, which performs all operations listed above.
Źródło:: ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes; 2017, 6, 2; 85-90
2084-5715
Pojawia się w:: ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Heuristic algorithms applied to the problems of servicing actors in supply chains
Autorzy:: Izdebski, M.
Jacyna-Gołda, I.
Markowska, K.
Murawski, J.
Powiązania:: https://bibliotekanauki.pl/articles/224087.pdf
Data publikacji:: 2017
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: supply chain
genetic algorithm
ant algorithm
łańcuchy dostaw
algorytm genetyczny
algorytm mrówkowy
Opis:: The paper discusses main decision problems analysed in the subject matter of servicing actors operating in the supply chains, i.e. the vehicle routing problem, vehicles-to-task assignment problem and the problem of entities’ localization in the supply chain. The input data used to describe supply chains is given as well as the basic constraints and the criterion functions used in the development of mathematical models describing the supply chains. Servicing actors in supply chains is the complex decision making problem. Operators in the supply chains are constrained by: production capacity of the suppliers, the demand of the customers in particular working days, storage capacities of warehouses, handling capacities of warehouses, suppliers’ and warehouses’ time windows and other. The efficiency of supply chain is described by cost of transport between operators, costs of passing cargoes through warehouses and delivery time to the recipient. The heuristic algorithms, like genetic and ant algorithms are detailed and used to identify issues related to the operation of actors operating in the supply chains are described. These algorithms are used for solving localization problems in supply chains, vehicle routing problems, and assignment problems. The complexity of presented issues (TSP is known as NP-hard problem) limits the use of precise algorithms and implies the need to use heuristic algorithms. It should be noted that solutions generated by these algorithms for complex decision instances are sub-optimal solutions, but nonetheless it is accepted from the practical point of view.
Źródło:: Archives of Transport; 2017, 44, 4; 25-34
0866-9546
2300-8830
Pojawia się w:: Archives of Transport
Dostawca treści:: Biblioteka Nauki

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