Download Computational Logistics: 5th International Conference, ICCL by Rosa G. González-Ramírez, Frederik Schulte, Stefan Voß, Jose PDF

By Rosa G. González-Ramírez, Frederik Schulte, Stefan Voß, Jose A. Ceroni Díaz

This booklet constitutes the refereed lawsuits of the fifth overseas convention on Computational Logistics, ICCL 2014, held in Valparaiso, Chile, in September 2014. The eleven papers provided during this quantity have been conscientiously reviewed and chosen for inclusion within the booklet. they're geared up in topical sections entitled: optimization of delivery difficulties; box terminal functions; simulation and environmental sustainability applications.

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4) If ai is packed before aj , and removed while aj is still packed, then ai and aj must not block each other. Formally, (p(ai ) < p(aj ) < d(ai ) < d(aj )) ⇒ (x(ai ) ≥ x(aj ) + w(aj ) ∨ x(aj ) ≥ x(ai ) + w(ai )). We consider the decision version of the KPLU: given a list of items L and a bin B we need to decide if there is a feasible packing of L into B or not. An instance for the PDPLU consists of a non-oriented complete graph G(V, E) with costs c(e) for each edge e ∈ E. The size of V is |V | = 2n + 1, where the vertices are partitioned into three sets V = {0}∪P ∪D where vertex 0 represents the depot, P = {p1 , .

All the proposed algorithms for the PDPLU use the KPLU algorithms to check whether a route is feasible or not. Exact algorithms based on the ILP model always check the feasibility of complete routes (routes that contain all clients) and the heuristics check the feasibility of smaller routes while they are being constructed. To solve reasonably sized instances, millions of feasibility tests are done by the algorithms and heuristics. One may note that many of these tests are useless. Consider for example a feasible route r = (p1 , p2 , p3 , d2 , d3 , p4 , d1 , d4 ) with its corresponding packing P.

In order to determine a sequence of the neighborhood operators, further tests should be realized where only one neighborhood operator at a time is used. Considering the number of evaluations, it can be easily observed, that the no 2-EX operator generates the highest number of evaluations for every instance. Contrary, the with 3-OPT generates the smallest number of evaluations for all instances. Actually, the reason for this observation is that all neighborhood operators and the 3-OPT are utilized.

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