Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  treat the capacitated location-routing problem (CLRP). The CLRP which combines the facility location problem with the routing problem is one of the most important problems in combinatorial optimisation field. In this study,  propose a new two-stage heuristic (2-SH) algorithm for the large-scale CLRP. In fact, our aim is to find high-quality solutions for very large-scale problems within a short computing time. The proposed method consists of two major stages. In the first, the routing sub-problem is solved using a tabu search. Then, in the second stage, to associate each route to a facility, the location-allocation sub-problem is treated by means of a simulated annealing method. Our proposed approach is evaluated on large-scale randomly generated instances and compared successfully with other two state-of-the-art algorithms from the literature.
['Oualid Guemri', 'Bouziane Beldjilali', 'Abdelghani Bekrar', 'Ghalem Belalem']
I am writing a research paper on a idea Two-stage heuristic algorithm for the large-scale capacitated location routing problem
[{"from": "human", "value": "I am writing a research paper on a idea Two-stage heuristic algorithm for the large-scale capacitated location routing problem"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  treat the capacitated location-routing problem (CLRP). The CLRP which combines the facility location problem with the routing problem is one of the most important problems in combinatorial optimisation field. In this study,  propose a new two-stage heuristic (2-SH) algorithm for the large-scale CLRP. In fact, our aim is to find high-quality solutions for very large-scale problems within a short computing time. The proposed method consists of two major stages. In the first, the routing sub-problem is solved using a tabu search. Then, in the second stage, to associate each route to a facility, the location-allocation sub-problem is treated by means of a simulated annealing method. Our proposed approach is evaluated on large-scale randomly generated instances and compared successfully with other two state-of-the-art algorithms from the literature."}]