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Titlebook: Engineering and Applied Sciences Optimization; Dedicated to the Mem Nikos D. Lagaros,Manolis Papadrakakis Book 2015 The Editor(s) (if appli

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https://doi.org/10.1007/978-3-319-18320-6Gradient Based and Derivative Free Optimization Algorithms; K; G; Karlaftis; Logistics, Transportation;
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Engineering and Applied Sciences Optimization978-3-319-18320-6Series ISSN 1871-3033 Series E-ISSN 2543-0203
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Nature-Inspired Algorithms: Success and Challenges, discuss the key features of nature-inspired metaheuristic algorithms by analyzing their diversity and adaptation, exploration and exploitation, attractions and diffusion mechanisms. We also highlight the success and challenges concerning swarm intelligence, parameter tuning and parameter control as well as some open problems.
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Characterizing Urban Dynamics Using Large Scale Taxicab Data,resent a comprehensive study on characterizing urban dynamics using the large scale taxi data in New York City. The pick-up and drop-off locations are firstly analyzed separately to reveal the general trip pattern across the city and the existence of unbalanced trips. The inherent similarities among
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Holistic Calibration of Microscopic Traffic Flow Models: Methodology and Real World Application Stucalibrate simultaneously all the calibration parameters as well as demand patterns for any type of network. Parameters considered include global and local as well as driver behaviour and vehicle performance parameters. Demand patterns, in terms of turning volumes, are included in the calibration fra
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Optimizing Leisure Travel: Is BigData Ready to Improve the Joint Leisure Activities Efficiency?,t phones, personal navigators and social media has drawn the attention of the scientific community and new methods for utilizing such data in the areas of citizen-sensing, mobility understanding and travelers’ behavioral analysis have been developed and tested. Stepping ahead from the central proble
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