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- W3017124503 abstract "The traveling transportation problem (TTP) is one of the classic algorithmic problems like thetraveling salesman problem (TSP) in the field of computer science, operations research and logisticsengineering. It has been classified as the NP-complete problems which can be effectively solved bymetaheuristic searching techniques based on modern optimization context. Recently, the flower pollinationalgorithm (FPA) was developed and proposed as one of the most efficient population-based metaheuristicoptimization searching techniques to solve continuous and combinatorial optimization problems. Moreover, theFPA’s algorithm is not complex. In this paper, the FPA is applied to solve the large scale travelingtransportation problems (LsTTP) consisting of more than 500 destinations. The FPA is tested against sixstandard LsTTP problems from literatures. Results obtained by the FPA will be compared with those obtainedby the genetic algorithm (GA) and the particle swarm optimization (PSO). As results, the FPA can provideoptimal solutions for all selected LsTTP problems superior to GA and PSO within shorter computational time." @default.
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- W3017124503 date "2019-01-01" @default.
- W3017124503 modified "2023-09-27" @default.
- W3017124503 title "Optimal Solving Large Scale Traveling Transportation Problems by Flower Pollination Algorithm" @default.
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