Least cost optimization of large passenger vessels
نویسندگان
چکیده
منابع مشابه
Least-Cost Opportunistic Routing
In opportunistic routing, each node maintains a group of candidate relays to reach a particular destination, and transmits packets to any node in this group. If a single candidate relay receives the packet, it becomes the effective relay to forward the packet further. If no candidate receives the packet, then the current sender re-transmits. If multiple candidates receive the packet, then the l...
متن کاملCost-Based Optimization of Regular Path Queries on Large Graphs
The significance of regular path queries (RPQs) on graphlike data structures has grown steadily over the past decade. Prominent application areas are XML/XPath, RDF/SPARQL, analysis of social networks, and queries on biomedical networks. However, current implementations of RPQ are restricted either in the type of the graph (e.g., only trees), the type of regular expressions (e.g., only single s...
متن کاملPassenger routing for periodic timetable optimization
The task of periodic timetabling is to schedule the trips in a public transport system by determining arrival and departure times at every station such that travel and transfer times are minimized. To date, the optimization literature generally assumes that passengers do not respond to changes in the timetable, i.e., the passenger routes are fixed. This is unrealistic and ignores potentially va...
متن کاملLeast-Cost Policy Strategies For CO2-Reduction In Passenger Car Transport: Lessons From Europe For Emerging Countries
Emerging countries currently have the highest growth rates in transport energy consumption and straightforward greenhouse gas emissions. In recent years many policy approaches in EU countries have been implemented to cope with problems in transport sector. The core objective of this paper is to derive lessons learned from different EU policies for road passenger transport which can also be impl...
متن کاملLeast Squares Optimization
The following is a brief review of least squares optimization and constrained optimization techniques, which are widely used to analyze and visualize data. Least squares (LS) optimization problems are those in which the objective (error) function is a quadratic function of the parameter(s) being optimized. The solutions to such problems may be computed analytically using the tools of linear alg...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Ships and Offshore Structures
سال: 2007
ISSN: 1744-5302,1754-212X
DOI: 10.1080/17445300701699507