Ambulance Fastest Path Using Ant Colony Optimization Algorithm-Reference-Cited by-同舟云学术

Ambulance Fastest Path Using Ant Colony Optimization Algorithm

Published:2017-05-28 Issue: Volume: Page:400-409
ISSN:2190-3018
Container-title:Intelligent Interactive Multimedia Systems and Services 2017
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Author:

Hamdi Hazar,Arfaoui Nouha,Mashhour Yasser Al,Akaichi Jalel

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-59480-4_40

Reference26 articles.

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2. Afshar, A., Mariño, M.A.: Multi-objective coverage-based ACO model for quality monitoring in large water networks. Water Resour. Manage 26(8), 2159–2176 (2012)

3. Afshar, M.H.: A parameter free continuous ant colony optimization algorithm for the optimal design of storm sewer networks: constrained and unconstrained approach. Adv. Eng. Softw. 41(2), 188–195 (2010)

4. Bajpai, A., Yadav, R.: Ant colony optimization (ACO) for the traveling salesman problem (TSP) using partitioning. Int. J. Sci. Technol. Res. 4(09), 376–381 (2015)

5. Ben Abdouallah, M., Bojji, C., El Yaakoubi, O.: Deployment and redeployment of ambulances using a heuristic method and an ant colony optimization—case study. In: International Conference on Systems of Collaboration (SysCo), pp. 1–4. IEEE (2016)

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