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Open AccessArticle

Cockroach Swarm Optimization Algorithm for Travel Planning

Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Kraków, Poland
Swisscom (Schweiz) AG, Waldeggstrasse 51, 3097 Liebefeld, Switzerland
Author to whom correspondence should be addressed.
Academic Editor: Mikhail Prokopenko
Entropy 2017, 19(5), 213;
Received: 27 February 2017 / Revised: 29 April 2017 / Accepted: 3 May 2017 / Published: 6 May 2017
(This article belongs to the Special Issue Complexity, Criticality and Computation (C³))
In transport planning, one should allow passengers to travel through the complicated transportation scheme with efficient use of different modes of transport. In this paper, we propose the use of a cockroach swarm optimization algorithm for determining paths with the shortest travel time. In our approach, this algorithm has been modified to work with the time-expanded model. Therefore, we present how the algorithm has to be adapted to this model, including correctly creating solutions and defining steps and movement in the search space. By introducing the proposed modifications, we are able to solve journey planning. The results have shown that the performance of our approach, in terms of converging to the best solutions, is satisfactory. Moreover, we have compared our results with Dijkstra’s algorithm and a particle swarm optimization algorithm. View Full-Text
Keywords: cockroach swarm optimization; swarm intelligence; journey planning; public transport; optimization of travel time cockroach swarm optimization; swarm intelligence; journey planning; public transport; optimization of travel time
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Kwiecień, J.; Pasieka, M. Cockroach Swarm Optimization Algorithm for Travel Planning. Entropy 2017, 19, 213.

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