By Theodore Tsekeris, Loukas Dimitriou, Antony Stathopoulos (auth.), Andreas Fink, Franz Rothlauf (eds.)
The publication handy offers a cautious choice of correct purposes of CI equipment for delivery, logistics, and provide chain administration difficulties. The chapters illustrate the present state of the art within the software of CI tools in those fields and will support and encourage researchers and practitioners to use and advance effective tools. a couple of contributions during this publication are prolonged types of papers awarded at EvoTransLog2007: the 1st ecu Workshop on Evolutionary Computation in Transportation and Logistics which used to be held in Valencia, Spain, in 2007. nearly all of contributions are from extra, particularly chosen researchers, who've performed correct paintings in several parts of delivery, logistics, and provide chain administration. The aim is to generally conceal consultant functions in those fields in addition to types of answer techniques. at the program aspect, the contributions specialise in layout of site visitors and transportation networks, motor vehicle routing, and different vital features of offer chain administration resembling stock administration, lot sizing, and lot scheduling. at the strategy facet, the contributions take care of evolutionary algorithms, neighborhood seek techniques, and scatter seek mixed with different CI thoughts akin to neural networks or fuzzy techniques. The publication is established in line with the applying domain names. hence, it has 3 elements facing site visitors and transportation networks, car routing, and provide chain management.
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Extra resources for Advances in Computational Intelligence in Transport, Logistics, and Supply Chain Management
Stathopoulos particularly since the seminal study of Du and Nicholson . The present study uses the concept of the Total Travel Time (T T T ) reliability, which denotes the network’s ability to respond to the various states of the system variables. This ability can be manifested both in everyday operating conditions and especially during incidents or unpredictable events, like man-made or physical disasters, which potentially degrade the expected (planned) performance of the network. Particularly in the latter case, a reliable design process is supposed to ensure the provision of the suﬃcient lifelines to support various emergency (for instance, evacuation) operations.
Three Papers on Measuring the Reliability and Flexibility of Transportation System Capacity. PhD Thesis, University of Pennsylvania, Philadelphia (2002) 8. : Bilevel programming: A survey. 4OR: Quarterly Journal of Operations Research 3, 87–107 (2005) 9. : The continuous equilibrium optimal network design problem: A genetic approach. In: Selected Proceedings of the 4th EURO Transportation Meeting, Newcastle, pp. 175–193 (1998) 10. : Reliable stochastic design of road network systems. International Journal of Industrial Systems Engineering 3 (forthcoming, 2008) 11.
Genetic algorithm for continuous network design problem. hk Summary. This chapter considers the optimal toll ring design problem in a general urban traﬃc network. , equity impact or revenue). In this chapter, the GA based algorithm proposed by  is integrated with a penalty based approach to tackle the problem. Three penalty methods including static, dynamic, and self-adaptive penalties are investigated. The algorithm is tested with a realistic traﬃc network. Keywords: Road pricing, Optimal toll location, Genetic algorithms, Constraint handling.