Similar Search Results

Deterministic, stochastic and local search algorithms for real-world ATSP instances

Pisut Pongchairerks; Jutathip Putponpai - In: International journal of logistics systems and management 24 (2016) 2, pp. 265-282

Persistent link: https://www.econbiz.de/10011547078

Non-iterative algorithm for finding shortest route

Maposa, Daniel; Mupondo, Ndava Constantine; Tawanda, Trust - In: International journal of logistics economics and … 6 (2014/2017) 1, pp. 56-77

Persistent link: https://www.econbiz.de/10011472092

An o(n) algorithm to solve the Bottleneck Traveling Salesman Problem restricted to ordered product matrices

Veen, Jack A. van der - 1990

Persistent link: https://www.econbiz.de/10000787997

Local search and variable neighborhood : search algorithms for the vehicle routing problem with time windows

Bräysy, Olli - 2001

Persistent link: https://www.econbiz.de/10001576002

Scheduling vehicles in automated transportation systems : algorithms and case study

Heijden, Matthieu C. van der; Ebben, Mark; Gademann, Noud; … - In: OR spectrum : quantitative approaches in management 24 (2002) 1, pp. 31-58

Persistent link: https://www.econbiz.de/10001662723

A developed simplex algorithm for solving transportation problem

Hamza, Abdel Kader - 1984

Persistent link: https://www.econbiz.de/10002599620

A New On-Demand Ant-Based Multiagent Routing Algorithm for Mobile Ad Hoc Networks

Sivakumar, D.; Ganesan, S. - 2011

This paper proposes a new On-Demand Ant-based Multiagent Routing Algorithm (ODAMRA) for Mobile Ad hoc Networks (MANETs …-time data as well as multimedia communication applications. The proposed algorithm provides high connectivity, reducing the …

Persistent link: https://www.econbiz.de/10014185953

Route Learning in Vehicle Routing with Pickup and Delivery

Bose, Amarnath - 2009

depends on the routing strategy adopted by the truck. We provide details of a Genetic Algorithm for route selection and …

Persistent link: https://www.econbiz.de/10014201288

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

Approximation Algorithm for the Traveling Salesman Problem

Forson, Roland - 2017

The traveling salesman problem is a problem in graph theory requiring the most efficient (i.e., least total distance) Hamiltonian cycle a salesman can take through each of n cities. No general method of solution is known, and the problem is NP-hard

Persistent link: https://www.econbiz.de/10014122915