Application of genetic algorithms to solve the multidepot vehicle routing problem

IEEE Transactions on Automation Science and Engineering

Volumn 7, Issue 2, 2010, Pages 383-392

  Lau, H C W ^a   Chan, T M ^a   Tsui, W T ^a   Pang, W K ^a  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Fuzzy logic; Genetic algorithms (GAs); Logistics; Optimization; Supply chain management; Vehicle routing problem (VRP)

Indexed keywords

BENCH-MARK PROBLEMS; BRANCH AND BOUNDS; CROSSOVER RATES; DATA SETS; GUIDED GENETIC ALGORITHMS; LOGISTICS OPTIMIZATION; MULTIDEPOT VEHICLE ROUTING; MULTIPLE DEPOT; MULTIPLE PRODUCTS; MUTATION RATES; SEARCH METHOD; SEARCH PERFORMANCE; SIMULATION RESULT; STOCHASTIC SEARCH TECHNIQUES; TIME WINDOW CONSTRAINT; TRAVELING TIME; VEHICLE ROUTING PROBLEM; VEHICLE ROUTING PROBLEM (VRP); VEHICLE ROUTING PROBLEMS;

FUZZY SYSTEMS; GENETIC ALGORITHMS; LINEAR PROGRAMMING; LOGISTICS; PROBLEM SOLVING; ROUTING ALGORITHMS; SIMULATED ANNEALING; SUPPLY CHAIN MANAGEMENT; SUPPLY CHAINS; TABU SEARCH; VEHICLES;

FUZZY LOGIC;

EID: 77950864439     PISSN: 15455955     EISSN: None     Source Type: Journal    
DOI: 10.1109/TASE.2009.2019265     Document Type: Article

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