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Optimizing fuel distribution through evolutionary programming

  • Evolution and NP-Hard Problems
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Evolutionary Programming VI (EP 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1213))

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Abstract

Evolutionary programming is demonstrated as a means for minimizing the cost of delivering fuel from a terminal to specified number of stations, each having a projected delivery window as well as carrier and shift constraints. The evolved solution compares favorably with the solution generated using the currently employed human-assisted optimizer. Evolutionary programming offers the potential for considerable cost savings when applied to a large fleet of trucks and/or a large quantity of orders.

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References

  1. D. Cattrysse and L.N. Van Wassenhove (1992). A survey of algorithms for the generalized assignment problem, European Journal of Operational Research, 60, pp. 260–272.

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  2. L.J. Fogel, A.J. Owens, and M.J. Walsh (1966). Artificial Intelligence through Simulated Evolution. John Wiley & Sons, NY.

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  3. D.B. Fogel (1995). Evolutionary Computation: Toward a New Philosophy of Machine Intelligence. IEEE Press, Piscataway, NJ.

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Peter J. Angeline Robert G. Reynolds John R. McDonnell Russ Eberhart

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© 1997 Springer-Verlag Berlin Heidelberg

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McDonnell, J.R., Page, W.C., Fogel, D.B., Fogel, L.J. (1997). Optimizing fuel distribution through evolutionary programming. In: Angeline, P.J., Reynolds, R.G., McDonnell, J.R., Eberhart, R. (eds) Evolutionary Programming VI. EP 1997. Lecture Notes in Computer Science, vol 1213. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0014826

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  • DOI: https://doi.org/10.1007/BFb0014826

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-62788-3

  • Online ISBN: 978-3-540-68518-0

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