A comparative study between dynamic adapted PSO and VNS for the vehicle routing problem with dynamic requests

Applied Soft Computing Journal

Volumn 12, Issue 4, 2012, Pages 1426-1439

  Khouadjia, Mostepha R ^a   Sarasola, Briseida ^b   Alba, Enrique ^b   Jourdan, Laetitia ^a   Talbi, El Ghazali ^a  

^a INRIA   (France)

^b UNIVERSITY OF MÁLAGA   (Spain)

Author keywords

Adaptive memory; Degree of dynamism (dod); Dynamic vehicle routing problem (DVRP); Particle swarm optimization (PSO); Performance measures for dynamic problems; Variable neighborhood search (VNS); Vehicle routing problem (VRP)

Indexed keywords

ADAPTIVE MEMORY; DEGREE OF DYNAMISM (DOD); DYNAMIC VEHICLE ROUTING PROBLEM (DVRP); PERFORMANCE MEASURE; VARIABLE NEIGHBORHOOD SEARCH; VEHICLE ROUTING PROBLEM (VRP);

COMBINATORIAL OPTIMIZATION; NETWORK ROUTING; PARTICLE SWARM OPTIMIZATION (PSO); ROUTING ALGORITHMS;

BENCHMARKING;

EID: 84857120529     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2011.10.023     Document Type: Article

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