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- W2141092103 abstract "Discrete particle swarm optimization (DPSO) is gaining popularity in the area of combinatorial optimization in the recent past due to its simplicity in coding and consistency in performance. A DPSO algorithm has been developed for orienteering problem (OP) which has been shown to have many practical applications. It uses reduced variable neighborhood search as a local search tool. The DPSO algorithm was compared with ten heuristic models from the literature using benchmark problems. The results show that the DPSO algorithm is a robust algorithm that can optimally solve the well known OP test problems." @default.
- W2141092103 created "2016-06-24" @default.
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- W2141092103 date "2011-02-06" @default.
- W2141092103 modified "2023-09-24" @default.
- W2141092103 title "DISCRETE PARTICLE SWARM OPTIMIZATION FOR THE ORIENTEERING PROBLEM" @default.
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