A Novel Solution to a Combinatorial Optimization Problem in Bicycle Sharing Systems

Figure 1: Examples of violations of supply and loading constraints: In (a), the vehicle can satisfy the given loading constraint because it can take the three excess bikes in port i. However, in (b), the vehicle violates the loading constraint because it only has room for one of the three excess bikes at the port. Likewise, in ©, the vehicle violates the supply constraint because it can only provide one bike at port i, which needs three. In the proposed strategy, these constraints are treated as soft constraints in problem formulation. This approach enables an algorithm search for both feasible and infeasible solution spaces and speed up the search for near-optimal or optimal solutions | Image credit: Tohru Ikeguchi from Tokyo University of Science

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Tokyo University of Science (TUS) is one of the most well-known, respected, and the largest science-specialized private research universities in Japan.

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Tokyo University of Science

Tokyo University of Science

Tokyo University of Science (TUS) is one of the most well-known, respected, and the largest science-specialized private research universities in Japan.

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