Hybrid Crow Search Algorithm - Simulated Annealing untuk Menyelesaikan Vehicle Routing Problem with Time Windows
نویسندگان
چکیده
منابع مشابه
An Improved Hybrid Cuckoo Search Algorithm for Vehicle Routing Problem with Time Windows
Transportation in economic systems such as services, production and distribution enjoys a special and important position and provides a significant portion of the country's gross domestic product. Improvements in transportation system mean improvements in the traveling routes and the elimination of unnecessary distances in any system. The Vehicle Routing Problem (VRP) is one of the practical co...
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The Vehicle Routing Problem with Time Windows (VRPTW) involves servicing a set of customers, with earliest and latest time deadlines, with varying demands using capacitated vehicles with limited travel times. The objective of the problem is to service all customers while minimizing the number of vehicles and travel distance without violating the capacity and travel time of the vehicles and cust...
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Effective co-ordination of distribution operations of a manufacturing organization is paramount since it represents the major cost component of the logistic supply chain. In order to deal with high demand of orders with shorter lead time, distributed warehouse concept is introduced and this is currently being practiced. Furthermore, due to inherent deficiencies in VRP, rules have been extended ...
متن کاملa multi-criteria vehicle routing problem with soft time windows by simulated annealing
this paper presents a multi-criteria vehicle routing problem with soft time windows (vrpstw) to mini-mize fleet cost, routes cost, and violation of soft time windows penalty. in this case, the fleet is heterogene-ous. the vrpstw consists of a number of constraints in which vehicles are allowed to serve customers out of the desirable time window by a penalty. it is assumed that this relaxation a...
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ژورنال
عنوان ژورنال: Contemporary Mathematics and Applications (ConMathA)
سال: 2020
ISSN: 2686-5564
DOI: 10.20473/conmatha.v2i2.23854