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Integrated order picking and vehicle routing with due dates

Schubert, Daniel; Scholz, André; Wäscher, Gerhard - 2017

iterated local search algorithm is designed for the simultaneous solution of the subproblems. By means of extensive numerical …

Persistent link: https://www.econbiz.de/10011641475

An integrated algorithm for shift scheduling problems for local public transport companies

Ciancio, Claudio; Laganà, Demetrio; Musmanno, Roberto; … - In: Omega : the international journal of management science 75 (2018), pp. 139-153

Persistent link: https://www.econbiz.de/10011781933

Solving the maximum edge disjoint path problem using a modified Lagrangian particle swarm optimisation hybrid

Weiner, Jake; Ernst, Andreas; Li, Xiaodong; Sun, Yuan; … - In: European journal of operational research : EJOR 293 (2021) 3, pp. 847-862

Persistent link: https://www.econbiz.de/10012533779

A branch-price-and-cut algorithm for the vehicle routing problem with release and due dates

Yang, Weibo; Ke, Liangjun; Wang, Zhiwei David; Lam, … - In: Transportation research / E : an international journal 145 (2021), pp. 1-14

Persistent link: https://www.econbiz.de/10012489030

A bi-objective green location-routing model and solving problem using a hybrid metaheuristic algorithm

Faraji, Fatemeh; Afshar-Nadjafi, Behrouz - In: International journal of logistics systems and management 30 (2018) 3, pp. 366-385

Persistent link: https://www.econbiz.de/10011894723

The time-dependent capacitated profitable tour problem with time windows and precedence constraints

Sun, Peng; Veelenturf, Lucas P.; Dabia, Said; Van … - In: European journal of operational research : EJOR 264 (2018) 3, pp. 1058-1073

Persistent link: https://www.econbiz.de/10011802174

A green delivery-pickup problem for home hemodialysis machines : sharing economy in distributing scarce resources

Asghari, Mohammad; Mirzapour Al-e-hashem, S. M. J. - In: Transportation research / E : an international journal 134 (2020), pp. 1-23

Persistent link: https://www.econbiz.de/10012172011

A crossover-based multi-objective discrete particle swarm optimization model for solving multi-modal routing problems

Afrasyabi, Parastoo; Mesgari, Mohammad Saadi; … - In: Decision analytics journal 9 (2023), pp. 1-17

algorithm to solve the routing problem in the urban multi-modal network. The multi-modal network problem considered in this … Algorithm-II (NSGA-II) algorithms are used to evaluate and compare the results from the CBMODPSO algorithm. In addition …, CBMODPSO results are compared with previous research results. We show the improved algorithm is more repeatable than other …

Persistent link: https://www.econbiz.de/10014533324

New Exact Algorithm for the integrated train timetabling and rolling stock circulation planning problem with stochastic demand

Pan, Hanchuan; Yang, Lixing; Liang, Zhe; Yang, Hai - In: European journal of operational research : EJOR 316 (2024) 3, pp. 906-929

Persistent link: https://www.econbiz.de/10014576830

Optimal Design of Timetables to Maximize Schedule Reliability & Minimize Energy Consumption, Rolling Stock and Crew Deployment

Nag, Bodhibrata; Pal, Manabendra Nath - 2013

We have developed a non-linear multi-objective model for optimal design of railway timetables. The objectives of the model are to maximize schedule reliability and minimize energy consumption, rolling stock and crew deployment. Metrics have been derived for each of these objectives. AHP is used...

Persistent link: https://www.econbiz.de/10014153838