PGGA: A predictable and grouped genetic algorithm for job scheduling

Future Generation Computer Systems

Volumn 22, Issue 5, 2006, Pages 588-599

  Li, Maozhen ^a   Yu, Bin ^a   Qi, Man ^b  

^a BRUNEL UNIVERSITY   (United Kingdom)

^b CANTERBURY CHRIST CHURCH UNIVERSITY   (United Kingdom)

Author keywords

Divisible load theory; Job scheduling; Job workload estimation; Load balancing; Predictable genetic algorithm

Indexed keywords

ALGORITHMS; HEURISTIC METHODS;

DIVISIBLE LOAD THEORY; JOB SCHEDULING; JOB WORKLOAD ESTIMATION; PREDICTABLE GENETIC ALGORITHM;

SCHEDULING;

EID: 32844464200     PISSN: 0167739X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.future.2005.09.001     Document Type: Article

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