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Volumn 19, Issue 2, 2001, Pages 145-164

A set of greedy randomized adaptive local search procedure (GRASP) implementations for the multidimensional assignment problem

Author keywords

Assignment problem; Discrete optimization; GRASP; NP complete

Indexed keywords

COMBINATORIAL MATHEMATICS; DATA REDUCTION; OPTIMIZATION; PROBABILITY DENSITY FUNCTION; PROBLEM SOLVING; RANDOM PROCESSES;

EID: 0035399109     PISSN: 09266003     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1011285402433     Document Type: Article
Times cited : (60)

References (41)
  • 33
    • 0029547417 scopus 로고
    • A new multidimensional data association algorithm for multisensor-multitarget tracking
    • Signal and Data Processing of Small Targets 1995, O. Drummond (Ed.), San Diego, CA, Sept.
    • (1995) Proceedings to the SPIE
    • Poore, A.1    Robertson, A.2
  • 35
    • 0029488186 scopus 로고
    • A new class of Lagrangian relaxation based algorithms for fast data association in multiple hypothesis tracking applications
    • Signal Processing, Sensor Fusion, and Target Recognition IV, I. Kadar and V. Libby (Eds.), Orlando, FL
    • (1995) Proceedings to the SPIE
    • Poore, A.1    Robertson, A.2    Shea, P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.