The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Nilson Tadeu Ramos Nunes - One of the best experts on this subject based on the ideXlab platform.
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a mixed load capacitated Rural School bus routing problem with heterogeneous fleet
Expert Systems With Applications, 2016Co-Authors: Fatima Machado Souza Lima, Davi Simoes Pereira, Samuel Vieira Conceicao, Nilson Tadeu Ramos NunesAbstract:Brazil is improving its service level for its Rural School transportation system.Five algorithms based on meta-heuristics are devised to address the problem.Two different transportation approaches are analyzed: single and mixed load plans.The mixed load plan has lower costs, number of buses and student riding distances.The mixed load approach shows to be more suitable for the Brazilian context. A capacitated Rural School bus routing problem featuring mixed loads, a heterogeneous fleet, and the same School starting time is here addressed. This is an important problem of the routing literature which has been attracting the attention of many researchers recently. The mixed load feature allows students from different Schools to ride the same bus at the same time. Five meta-heuristic based algorithms were devised to solve the problem, and evaluated on solving four different datasets, one of them being based on a real case from Brazil. Four traditional local search neighborhood structures for vehicle routing problems were adapted and specialized to handle mixed loads and a heterogeneous fleet simultaneously. To the best of the authors knowledge, it is the first time that both features are treated jointly within an algorithm, and not as a post processing optimization step. The attained cost savings and reduction of fleet sizes suggest the suitability of a mixed load, heterogeneous fleet approach for sparsely populated Rural areas. Moreover the devised framework has been embedded into a decision support system which is assisting several municipalities of the state of Minas Gerais, Brazil, to better plan their routes and reduce transportation costs.
Fatima Machado Souza Lima - One of the best experts on this subject based on the ideXlab platform.
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a mixed load capacitated Rural School bus routing problem with heterogeneous fleet
Expert Systems With Applications, 2016Co-Authors: Fatima Machado Souza Lima, Davi Simoes Pereira, Samuel Vieira Conceicao, Nilson Tadeu Ramos NunesAbstract:Brazil is improving its service level for its Rural School transportation system.Five algorithms based on meta-heuristics are devised to address the problem.Two different transportation approaches are analyzed: single and mixed load plans.The mixed load plan has lower costs, number of buses and student riding distances.The mixed load approach shows to be more suitable for the Brazilian context. A capacitated Rural School bus routing problem featuring mixed loads, a heterogeneous fleet, and the same School starting time is here addressed. This is an important problem of the routing literature which has been attracting the attention of many researchers recently. The mixed load feature allows students from different Schools to ride the same bus at the same time. Five meta-heuristic based algorithms were devised to solve the problem, and evaluated on solving four different datasets, one of them being based on a real case from Brazil. Four traditional local search neighborhood structures for vehicle routing problems were adapted and specialized to handle mixed loads and a heterogeneous fleet simultaneously. To the best of the authors knowledge, it is the first time that both features are treated jointly within an algorithm, and not as a post processing optimization step. The attained cost savings and reduction of fleet sizes suggest the suitability of a mixed load, heterogeneous fleet approach for sparsely populated Rural areas. Moreover the devised framework has been embedded into a decision support system which is assisting several municipalities of the state of Minas Gerais, Brazil, to better plan their routes and reduce transportation costs.
Davi Simoes Pereira - One of the best experts on this subject based on the ideXlab platform.
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A multi-objective capacitated Rural School bus routing problem with heterogeneous fleet and mixed loads
4OR, 2017Co-Authors: Fátima M. Souza Lima, Davi Simoes Pereira, Samuel Vieira Conceicao, Ricardo S. CamargoAbstract:Four multi-objective meta-heuristic algorithms are presented to solve a multi-objective capacitated Rural School bus routing problem with a heterogeneous fleet and mixed loads. Three objectives are considered: the total weighted traveling time of the students, the balance of routes among drivers, and the routing costs. The proposed methods were compared with one from the literature, and their performance assessed observing three multi-objective metrics: cardinality, coverage, and hyper-volume. All four devised methods outperformed the one from the literature. The algorithm with a path relinking procedure embedded during the crowding distance selection scheme had the best overall performance.
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a mixed load capacitated Rural School bus routing problem with heterogeneous fleet
Expert Systems With Applications, 2016Co-Authors: Fatima Machado Souza Lima, Davi Simoes Pereira, Samuel Vieira Conceicao, Nilson Tadeu Ramos NunesAbstract:Brazil is improving its service level for its Rural School transportation system.Five algorithms based on meta-heuristics are devised to address the problem.Two different transportation approaches are analyzed: single and mixed load plans.The mixed load plan has lower costs, number of buses and student riding distances.The mixed load approach shows to be more suitable for the Brazilian context. A capacitated Rural School bus routing problem featuring mixed loads, a heterogeneous fleet, and the same School starting time is here addressed. This is an important problem of the routing literature which has been attracting the attention of many researchers recently. The mixed load feature allows students from different Schools to ride the same bus at the same time. Five meta-heuristic based algorithms were devised to solve the problem, and evaluated on solving four different datasets, one of them being based on a real case from Brazil. Four traditional local search neighborhood structures for vehicle routing problems were adapted and specialized to handle mixed loads and a heterogeneous fleet simultaneously. To the best of the authors knowledge, it is the first time that both features are treated jointly within an algorithm, and not as a post processing optimization step. The attained cost savings and reduction of fleet sizes suggest the suitability of a mixed load, heterogeneous fleet approach for sparsely populated Rural areas. Moreover the devised framework has been embedded into a decision support system which is assisting several municipalities of the state of Minas Gerais, Brazil, to better plan their routes and reduce transportation costs.
Samuel Vieira Conceicao - One of the best experts on this subject based on the ideXlab platform.
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A multi-objective capacitated Rural School bus routing problem with heterogeneous fleet and mixed loads
4OR, 2017Co-Authors: Fátima M. Souza Lima, Davi Simoes Pereira, Samuel Vieira Conceicao, Ricardo S. CamargoAbstract:Four multi-objective meta-heuristic algorithms are presented to solve a multi-objective capacitated Rural School bus routing problem with a heterogeneous fleet and mixed loads. Three objectives are considered: the total weighted traveling time of the students, the balance of routes among drivers, and the routing costs. The proposed methods were compared with one from the literature, and their performance assessed observing three multi-objective metrics: cardinality, coverage, and hyper-volume. All four devised methods outperformed the one from the literature. The algorithm with a path relinking procedure embedded during the crowding distance selection scheme had the best overall performance.
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a mixed load capacitated Rural School bus routing problem with heterogeneous fleet
Expert Systems With Applications, 2016Co-Authors: Fatima Machado Souza Lima, Davi Simoes Pereira, Samuel Vieira Conceicao, Nilson Tadeu Ramos NunesAbstract:Brazil is improving its service level for its Rural School transportation system.Five algorithms based on meta-heuristics are devised to address the problem.Two different transportation approaches are analyzed: single and mixed load plans.The mixed load plan has lower costs, number of buses and student riding distances.The mixed load approach shows to be more suitable for the Brazilian context. A capacitated Rural School bus routing problem featuring mixed loads, a heterogeneous fleet, and the same School starting time is here addressed. This is an important problem of the routing literature which has been attracting the attention of many researchers recently. The mixed load feature allows students from different Schools to ride the same bus at the same time. Five meta-heuristic based algorithms were devised to solve the problem, and evaluated on solving four different datasets, one of them being based on a real case from Brazil. Four traditional local search neighborhood structures for vehicle routing problems were adapted and specialized to handle mixed loads and a heterogeneous fleet simultaneously. To the best of the authors knowledge, it is the first time that both features are treated jointly within an algorithm, and not as a post processing optimization step. The attained cost savings and reduction of fleet sizes suggest the suitability of a mixed load, heterogeneous fleet approach for sparsely populated Rural areas. Moreover the devised framework has been embedded into a decision support system which is assisting several municipalities of the state of Minas Gerais, Brazil, to better plan their routes and reduce transportation costs.
Rery Budiarti - One of the best experts on this subject based on the ideXlab platform.
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otitis media in indonesian urban and Rural School children
Pediatric Infectious Disease Journal, 2014Co-Authors: Ratna Anggraeni, Widya W Hartanto, Bulantrisna Djelantik, Abla Ghanie, Denny Satria Utama, Eka Putra Setiawan, Erica Lukman, Chintriany Hardiningsih, Suprihati Asmuni, Rery BudiartiAbstract:BACKGROUND Although the epidemiology of otitis media is well-known in industrialized countries, the extent of otitis media in developing Asian countries, especially in south East Asia is not well studied. METHODS To define the burden of otitis media and its sequelae in children 6-15 years of age, we enrolled elementary and junior high School children in 6 areas in Rural and urban Indonesia. Randomly selected Schools and classrooms were selected. All children were administered a questionnaire and had ear examinations, pneumatic otoscopy and screening audiometry. Children with any abnormality on examination or with a relevant history underwent diagnostic audiometry and tympanometry, if indicated. RESULTS Of the 7005 children studied, 116 had chronic suppurative otitis media (CSOM), 30 had acute otitis media and 26 had otitis media with effusion. 2.7% of Rural children had CSOM compared with 0.7% of urban children (P < 0.0001). The rates per 1000 of CSOM in Rural Bali and Bandung were significantly higher (75 and 25, respectively) than in the rest of Indonesia (P < 0.05). In Rural Bali, the rate per 1000 children of inactive CSOM was 63 in 6- to 9-year-old children, compared with 37 in children aged 13-15 years. Concomitantly, the rates of tympanosclerosis were 7 and 26/1000, respectively, in these age groups. CONCLUSIONS In Indonesia, the prevalence of CSOM is relatively high with most disease occurring in Rural areas. The high rates in Rural Bali with early progression to tympanosclerosis suggest a significant burden of potentially vaccine preventable illness.
