![]() If you see inaccuracies in our content, please report the mistake via this form. If we have made an error or published misleading information, we will correct or clarify the article. ![]() Our editors thoroughly review and fact-check every article to ensure that our content meets the highest standards. Our goal is to deliver the most accurate information and the most knowledgeable advice possible in order to help you make smarter buying decisions on tech gear and a wide array of products and services. ZDNET's editorial team writes on behalf of you, our reader. Indeed, we follow strict guidelines that ensure our editorial content is never influenced by advertisers. Neither ZDNET nor the author are compensated for these independent reviews. This helps support our work, but does not affect what we cover or how, and it does not affect the price you pay. When you click through from our site to a retailer and buy a product or service, we may earn affiliate commissions. And we pore over customer reviews to find out what matters to real people who already own and use the products and services we’re assessing. We gather data from the best available sources, including vendor and retailer listings as well as other relevant and independent reviews sites. Tutorial: A tutorial of the core features.ZDNET's recommendations are based on many hours of testing, research, and comparison shopping. Model: The model is open source and can be accessed online. Anaconda can be downloaded here Further reading The model is written in Python 3 and developed in Spyder, which is part of Anaconda. Edges have attributes for their length, the assigned capacity and, if applicable, their current capacity if they are existing connections. ![]() Each edge is defined by the two nodes it connects. The edges are here the new to build or existing connections between the nodes. The nodes have attributes for their location, for their demand or supply at different time steps and for their specific type. The nodes are here the producers and consumers and, if required, crossings in a routing network, extra splitting nodes to combine or split connections and bending points around obstacles. In Graph Theory networks are modelled as graphs that consist of nodes and edges. The method developed is particularly useful in a multi-actor process, since it enables a quick analysis of low cost networks, while real-world alternatives are discussed among stakeholders on the negotiation table. This method supports network developers by quickly finding least-cost network topologies. Infrastructure networks have a large number of degrees of freedom, which makes it hard to intuitively compare the cost-effectiveness of alternatives. Capacity of existing connections is or is not increased or used?.Demand and supply profiles and volumes will change in the coming future?.Specific regions might or might not be crossed?.New producers or consumers would like to be connected at a later stage?.Not only can they find optimal network-layouts that might be not so easily determined by hand, they can also experiment with different sets of inputs to see what the effect will be on the optimal layout and capacity of the network. The main purpose is to help decision makes to explore the different options they have when deciding about the location of new networks given a set of realistic restrictions. If desired and applicable, the new network connections can also be connected to an existing network in the most cost-effective way. The nodes to be connected can change role per time step, being a producer at some times and a consumer at other times. The algorithm not only finds the optimal layout for the network, but it will also determine per connection the minimum capacity required to meet the demand at all given time steps. These restrictions can consist of predefined paths that the network must follow, for example streets in a city, or of predefined obstacles that the network must not cross, for example nature reserves or water. The method takes into account route restrictions if needed. The optimal-network-layout tool is a tool to find the minimum-cost layout for a new network transporting a certain commodity from one or more producers to one or more consumers.
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