A multi-objective hybrid genetic algorithm to minimize the total cost and delivery tardiness in a reverse logistics

Multimedia Tools and Applications

Volumn 74, Issue 20, 2015, Pages 9067-9085

  Lee, Jeong Eun ^a   Chung, Kyung Yong ^b   Lee, Kang Dae ^c   Gen, Mitsuo ^d  

^a Dong Eui University   (South Korea)

^b Sangji University   (South Korea)

^c Yonsei University Wonju   (South Korea)

^d FUZZY LOGIC SYSTEMS INSTITUTE   (Japan)

Author keywords

Fuzzy logic controller (FLC); Multi objective hybrid genetic algorithm (mo hGA); Multi objective reverse logistics network (mo RLN); Pri awGA (priority based GA with adaptive weight approach)

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; ALGORITHMS; COMPUTATION THEORY; COSTS; FUZZY LOGIC; GENETIC ALGORITHMS; TRANSPORTATION;

ADAPTIVE WEIGHTS; COMPUTATIONAL TIME; FUZZY LOGIC CONTROLLERS; HYBRID GENETIC ALGORITHMS; OBJECTIVE FUNCTIONS; REVERSE LOGISTICS NETWORK; SYSTEM CONFIGURATIONS; TRANSPORTATION COST;

LOGISTICS;

EID: 84941996615     PISSN: 13807501     EISSN: 15737721     Source Type: Journal    
DOI: 10.1007/s11042-013-1594-6     Document Type: Article

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